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Relevant bibliographies by topics / Monitoring and managing of ADRs

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Academic literature on the topic 'Monitoring and managing of ADRs'

Author: Grafiati

Published: 3 June 2025

Last updated: 22 June 2025

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Journal articles on the topic "Monitoring and managing of ADRs"

1

Tran, Huu Linh Phuong. "Adverse drug reactions (ADRs): Managing and Monitoring at 199 Hospital." Journal of Health Sciences 1, no. 3 (2023): 44–49. https://doi.org/10.59070/jhs010323004.

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On time detection of Adverse Drug Reactions (ADRs) helps avoid the harmful effects to patients, and promptly prevent mishaps or disasters to our health care. To assist in monitoring the safety in the use of drugs for patients, and providing maximum data to the National Center for DI&ADR on the drug safety of Phase 4 (the drugs are widely used in the community), clinical pharmacists have monitored ADRs actively instead of waiting for clinical reports. A cross-sectional description study was done by interview, review profiles, examine inpatients randomly at any time of the treatment (priority to choose patients with complex pharmacotherapy or high-risk drugs causing adverse reactions). A total of 455 interviews, examinations, and follow-ups of 15 ADRs cases were actively exploited by pharmacists (3.3%). Harmful reactions are also recorded in most specialties. The first rate was acute reaction (47%, 7 cases), the second rate was sub -acute reaction (33%, 5 cases), and the delayed reaction accounted for at least (20%, 3 cases). There are 14 drugs that are suspect or certainly related to adverse reactions, 8 of these are high-risk drugs on A-PINCH list (accounting for 57%). Proactive ADRs monitoring is necessary to minimize the risks for patients. Clinical pharmacists should get involved in the process and follow through. Aside from providing health care providers with frequent trainings to keep them with the up-to-date information needed, an improvement of prescription software to minimize ADRs should be applied.

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Shanmugam, Deepa, Sudha Mukhyaprana, Gomathi Selvakumar, Siddiraju Devipriya, and Ramachandra Chandramouliswaran. "Assessment of antitubercular treatment induced adverse drug reactions data at a tertiary care hospital." National Journal of Physiology, Pharmacy and Pharmacology 14, no. 5 (2024): 1. http://dx.doi.org/10.5455/njppp.2023.13.0945202310102023.

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Background: Standard anti-tuberculosis (TB) treatment is highly effective, but managing adverse drug responses is a major challenge that can negatively affect treatment compliance and outcomes of an anti-tubercular treatment (ATT) regimen. Hence, monitoring of these adverse drug reactions (ADRs) is very essential wherein the drug-causing ADR can be detected and an appropriate therapeutic regimen can be given to the patient. Aims and Objectives: To assess the ATT-induced ADRs in Individual Case Safety Reports (ICSRs), to find the incidence and prevalence of ADRs due to ATT, and to analyze the causality assessment of the ADRs due to ATT. Materials and Methods: A retrospective observational study was carried out using spontaneous ICSRs data from the ADR monitoring centre at Madras Medical College, Chennai. A suspected adverse drug reaction reporting form (sADR reporting form) provided by the Pharmacovigilance Programme of India was used to collect the data of an ICSR. Results: A total of 93 ICSRs were assessed during the study period. The majority of the ADRs occurred in males (n = 55), and the maximum number of ADRs were found in the age group of 18–44 years (n = 46). The majority of the ICSRs were categorized as “serious” (n = 60), of which the maximum number of ADRs belonged to the “hospitalization/prolonged hospital stay” category (n = 45). Most of the suspected ATT drugs involved in implicating ADRs were found to be fixed-dose combination pills of Isoniazid, Rifampicin, Pyrazinamide, and Ethambutol (n = 71). Most of the ADRs were “skin and subcutaneous disorders” (n = 51) of the system organ class. The outcome of the ADRs was assessed and found that the majority of them were in the “recovering” (n = 54) category, and the majority of the ICSRs were found to be “probable” (n = 67). Conclusion: An effective implementation of a Pharmacovigilance system with early detection and management of ADRs is needed to overcome the nonadherence to TB therapy.

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Aprianti, Sartika, Prayudi Santoso, Melisa Intan Barliana, and Ivan Surya Pradipta. "ARTICLE REVIEW: THE TREATMENT PROBLEM AND ADVERSE DRUG REACTIONS IN THE TREATMENT OF MULTIDRUG-RESISTANT TUBERCULOSIS." Medical Sains : Jurnal Ilmiah Kefarmasian 8, no. 4 (2023): 1503–24. http://dx.doi.org/10.37874/ms.v8i4.988.

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Multidrug-resistant tuberculosis (MDR-TB) is the resistance of Mycobacterium tuberculosis to at least two tuberculosis (TB) drugs, rifampicin and isoniazid. The disease requires a long treatment duration with several second-line drugs. This leads to a globally low success rate of approximately 56% for MDR-TB treatment. Studies have reported that adverse drug reactions (ADRs) contribute to high rates of non-compliance, treatment discontinuation, and failure. This narrative review aimed to provide information about MDR-TB treatment modalities, various ADRs, challenges encountered in MDR-TB treatment, and instances of ADRs that can impact treatment success. This narrative review study was conducted by searching for scientific information from the primary electronic databases PubMed and Google Scholar, covering 2012-2022. Based on the literature search results, 14 studies were identified, demonstrating challenges in TB and MDR-TB treatment, along with 6 ADRs that can influence treatment success in MDR-TB patients. ADRs during MDR-TB treatment can affect patients’ physical, mental, and social well-being as well as their beliefs and behaviors related to treatment. Comprehensive support from families, communities, and healthcare providers is essential to assist patients in addressing treatment challenges and adverse ADRs. Rapid identification and strategies for monitoring and managing treatment challenges and ADRs can improve compliance and success of MDR-TB treatment. Keywords: Adverse Drug Reactions, Drug Side Effects, Multi Drug-Resistant Tuberculosis (MDR-TB), Treatment Success

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Benkhadra, Maria, Rola Ghasoub, Reem Hajeomar, et al. "Caught in the Crossfire: Unmasking the Silent Renal Threats of Tyrosine Kinase Inhibitors in Chronic Myeloid Leukemia." Cancers 17, no. 1 (2024): 92. https://doi.org/10.3390/cancers17010092.

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Background: Renal adverse drug reactions (ADRs) associated with tyrosine kinase inhibitors (TKIs) in the treatment of chronic myeloid leukemia (CML) are relatively rare, and there is currently no standardized protocol for their management. Therefore, this study aimed to summarize renal ADRs related to TKIs use in CML and propose an evidence-based approach to monitor and manage these ADRs. Methods: A systematic literature review was performed to identify renal ADRs associated with TKIs in CML. Two authors screened the search results and extracted data from 37 eligible studies. These findings were then used to develop a scheme for clinicians to monitor and manage these ADRs. Results: Overall, imatinib seemed to be significantly linked to renal adverse events compared to other TKIs, and switching to dasatinib or nilotinib significantly improved renal function. Similar events were reported with bosutinib, although they were not statistically significant. However, most of the renal events reported on dasatinib were described as nephrotic syndrome that resolved with switching to imatinib. Few cases were reported with nilotinib that described tumor lysis syndrome (TLS)-related kidney injury. Conclusions: Recommendations include monitoring for progressive decline in the estimated glomerular filtration rate with imatinib, nephrotic syndrome with dasatinib, and TLS with nilotinib. Additionally, holding the offending TKI and managing renal ADRs according to local guidelines were adopted more frequently than reducing the TKI dose.

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Cui, Yuqi, Sayed Aliul Hasan Abdi, Jeanne Wei, and Gohar Azhar. "The Long-Term Cardiovascular Risks of Duloxetine Use in Older Adults: A Retrospective Medical Record-Based Adverse Drug Reaction Assessment." Journal of Clinical Medicine 13, no. 24 (2024): 7595. https://doi.org/10.3390/jcm13247595.

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Background: Duloxetine, a Serotonin–Norepinephrine Reuptake Inhibitor (SNRI), is frequently used to treat diabetic peripheral neuropathy, depression, and fibromyalgia. However, its long-term cardiovascular implications in older individuals remain underexplored, particularly in those with pre-existing cardiovascular diseases. This medical record assessment aimed to evaluate the potential cardiovascular risks of duloxetine use in older persons after prolonged use. Methods: We evaluated adverse drug reactions (ADRs) using six medical records from elderly individuals (aged 70–79) with cardiovascular comorbidities who received duloxetine (≥60 mg daily) for anxiety, depression, and chronic pain. ADRs were assessed using the Naranjo ADR Probability Scale, the Modified Hartwig and Siegel Severity Scale, and the Karch and Lasagna Algorithm. Clinical outcomes were assessed before and after duloxetine dose reduction or withdrawal. Results: All the patients had cardiovascular-related ADRs, such as peripheral cyanosis, vasoconstriction, atrial fibrillation, and hypertensive episodes. Five of the six patients experienced mild cognitive impairment [Montreal Cognitive Assessment (MoCA) scores of 11–24/30]. A positive dechallenge (symptom resolution) was observed in all medical records after decreasing or discontinuing duloxetine. It is interesting to note that four medical records demonstrated significant improvement in cyanosis, blood pressure, and anxiety after decreasing or discontinuing duloxetine use. There was no rechallenge in this study. The causality was considered probable (Naranjo Scale), and ADRs were categorized as moderately severe (Hartwig and Siegel Scale) in all the medical records. However, with adequate monitoring, the ADRs were considered preventable (Schumock and Thornton Scale). Conclusions: Long-term duloxetine use could cause significant cardiovascular problems in older individuals, particularly those who already have cardiovascular difficulties. Regular monitoring of cardiovascular function and early steps such as dose adjustment or drug withdrawal of duloxetine may reduce the prognosis of ADRs. More studies are required to create safer treatment strategies for managing depression and anxiety in older people with cardiovascular issues.

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Shivani, Manvar Sonal Kumbhar Dr. Nilesh Chougule. "Pharmacovigilance of Antimicrobial Drug: Azithromycin." International Journal of Pharmaceutical Sciences 2, no. 12 (2024): 1450–70. https://doi.org/10.5281/zenodo.14396131.

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Pharmacovigilance of antimicrobial drugs is critical for ensuring their safety and efficacy in clinical use. Azithromycin, a widely used macrolide antibiotic, is commonly prescribed for a variety of bacterial illnesses, such as respiratory and sexually transmitted diseases. Despite its general safety profile, concerns regarding adverse drug reactions (ADRs), resistance, and interactions with other drugs necessitate continuous monitoring. This review explores the pharmacovigilance data associated with Azithromycin, highlighting common and rare ADRs, such as gastrointestinal disturbances, cardiovascular effects, and potential risks in vulnerable populations. Moreover, the role of pharmacovigilance systems in detecting and managing these effects is emphasized, alongside the importance of post-marketing surveillance to assess long-term safety. Effective pharmacovigilance can guide healthcare professionals in optimizing treatment protocols and minimizing the risks of Azithromycin use, ensuring better patient outcomes and public health.

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T, Reema, Anuradha M, Ancy George, and Sruthi N. "The pattern of adverse effects related to antimicrobial therapy in a tertiary care hospital." National Journal of Physiology, Pharmacy and Pharmacology 12, no. 7 (2022): 1. http://dx.doi.org/10.5455/njppp.2022.12.05241202203062022.

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Background: Antimicrobial drugs are life-saving drugs but they come with their own share of adverse drug reactions (ADRs). Institutional drug policy helps in the rational use of the antimicrobial for the given clinical condition. This helps in controlling the development of resistance as well as minimizing adverse events. Aims and Objectives: This study aims to share the pattern of adverse reactions seen to the commonly prescribed antimicrobials. Materials and Methods: This is a retrospective, observational study. The data of patients, admitted to a tertiary care center in North Kerala who reported adverse effects related to antimicrobial treatment, were obtained from the case files from the medical record library. ADRs with antimicrobials reported during the period from November 2018 to November 2019 were obtained and the data were expressed as percentages in Microsoft excel. Causality assessment was done using the world health organization casualty scale. Results: 92 case reports were analyzed. Among the different antimicrobials used, Ciprofloxacin was the most commonly prescribed antimicrobial (18.5%) followed by ceftriaxone (12%). 13 different patterns of ADRs were obtained following the use of these drugs, among which allergic reactions to drugs were the most common (71.7%) with a causality assessment showing it to be the probable cause. Conclusion: The monitoring of ADRs to antimicrobials is the need of the hour. This study helped in determining the different patterns of ADRs with antimicrobials. Active surveillance and complete reporting help in identifying these and reporting and managing them to prevent such occurrences in the future.

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Femi, Retna. J., Amudhan Arvind E., and R. Komala. "Adverse Drug Reactions to Anti Retro Viral Therapy in a Tertiary Care Teaching Hospital." International Journal of Pharmaceutical and Clinical Research 15, no. 2 (2023): 969–74. https://doi.org/10.5281/zenodo.12822821.

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<strong>Introduction: </strong>Acquired immune deficiency syndrome (AIDS) is a persistent and possibly lethal illness of the immune system caused by the Human immunodeficiency virus (HIV). Highly active antiretroviral therapy (HAART), a blend of minimum 3 medications which had helped very much in reducing morbidity and mortality to a significant extent. All drugs used in treatment of HIV has many side effects related to it and is one of the main causes for altering or stopping drug management also irregular intake of drugs leads to poor compliance. Hence proper assessment of ADRs may help treating doctors to alter the medicament for managing HIV infection. Hence objective of our study is to estimate risk factors causing adverse drug reaction in relation to ART among HIV patients, and also to evaluate the causality and Severity of ADRs. <strong>Material and Methodology: </strong>This research work was done as an observational study by pharmacology department along with ART center in a tertiary care hospital. In our study 200 patients were included who were started with HAART and were for a period of next one year they were followed. Causality assessment of ADRs was done by Naranjo scale and Severity assessment of ADRs by Hartwig and Seigel’s severity scale. <strong>Results: </strong>In our study out of the 200 patients 75 (37.5%) had experienced ADRs. System wise most of ADRs were connected to Hematological (32%), GIT (27%) and CNS (23%). The majority of the ADRs were with ZLN regimen (74%). Naranjo causality evaluation revealed 62 % were possible, 31 % were probable and 7% were definitive ADRs. Also 49% were mild and 51% were moderately severe in intensity based on Hartwig & Seigels scale. <strong>Conclusions: </strong>Adverse drug reaction among PLHA on management with ART regimen is an important health issue compliance to treatment. So, constant monitoring is necessary to thwart life-threatening ADR and to improve treatment outcome.      

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Kiranmai, Venkatagiri1 Bhavya Sai Sakhamuri2 Mitta Putta Pooja*3 Sandeep Reddy Ambati4 Sai Keshava Reddy A.5. "Doxycycline induced Urticaria: A Case Report." International Journal of Pharmaceutical Sciences 3, no. 3 (2025): 739–44. https://doi.org/10.5281/zenodo.14998605.

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Doxycycline, a second-generation bacteriostatic antibiotic, is widely used to treat a variety of infections, including those caused by intracellular pathogens. It is effective against both gram-positive and gram-negative bacteria and has potential therapeutic benefits for conditions such as cancer and Alzheimer's disease. However, its use is contraindicated in children below eight years due to possible adverse effects. This case report presents a 28-year-old female patient who developed drug-induced urticaria after being treated with doxycycline for suspected Chikungunya viral arthritis. Following a detailed clinical assessment and laboratory investigations, the patient exhibited symptoms consistent with drug-induced urticaria, including angioedema and severe itching. Management involved the withdrawal of doxycycline, administration of systemic corticosteroids, antihistamines, and supportive care. The patient demonstrated significant improvement, highlighting the importance of recognizing and promptly managing adverse drug reactions (ADRs). This case emphasizes the necessity for on-going monitoring of drug safety and the need for clinical awareness regarding rare but serious ADRs associated with commonly used medications like doxycycline.

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Kaj, Kanhai Hiren. "Assessing the knowledge and practice of the Irish Community Pharmacists in reporting Adverse Drug Reactions and Falsified Medicines." International Journal of Drug Regulatory Affairs 11, no. 3 (2023): 1–10. http://dx.doi.org/10.22270/ijdra.v11i3.603.

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Background: Pharmacovigilance is a critical aspect of healthcare, enabling the monitoring of adverse drug reactions (ADRs), eradication of falsified medicines (FMs), identification of medication errors, monitoring off-license drug use, addressing abuse and misuse, assessing lack of efficacy, tracking poisoning incidents, managing drug-drug/food interactions, ensuring the destruction of expired stock, and evaluating drug-related mortality. It is essential for healthcare professionals to be aware of their role in Pharmacovigilance. Objective: This study aims to assess the current knowledge and reporting practices of ADRs and FMs among community pharmacists in Ireland, focusing on two important components of Pharmacovigilance. Method: The research employed a cross-sectional, observational design, utilizing an online questionnaire survey to gain insights into the pharmacists' knowledge and practices related to Pharmacovigilance programs, ADR reporting, FMs, and their opinions on their role in these areas. Results: The study found that Irish colleges and universities played a significant role in providing Pharmacovigilance education to pharmacy students. The majority of pharmacists demonstrated a good understanding of Pharmacovigilance, but only a third of them were aware of Irish legislation in this regard. Additionally, only 20.23% of pharmacists believed that Irish patients were aware of ADR reporting, although 92.49% were familiar with the Health Products Regulatory Authority's (HPRA) ADR reporting system. The findings suggest the need for pharmacists to educate their patients about ADR reporting, while recognizing the convenience of the HPRA reporting system. Conclusion: Overall, the study revealed that most community pharmacists possess a solid understanding of the fundamental aspects of Pharmacovigilance, including ADRs and FMs. However, there are areas for improvement, such as raising awareness among patients about ADR reporting. The findings highlight the importance of continuous education and communication to enhance Pharmacovigilance practices among community pharmacists in Ireland.

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Dissertations / Theses on the topic "Monitoring and managing of ADRs"

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Rackl, Günther. "Monitoring and managing heterogeneous middleware." [S.l.] : [s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=962067164.

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Hermansson, Oskar. "Resource Monitoring in a Distributed Self-Managing Middleware." Thesis, Linköping University, Department of Computer and Information Science, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-16367.

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<p>The next generation of automotive systems is self-managing. Concepts such as self-aware and self-monitoring are necessary parts of the system to be able to meet the requirements of self-configuration and self-optimization. DySCAS is a research project, funded by the European Union, which aims at developing such a system.This thesis report describes and elaborates the theory for three topics: Built-in self-test, resource monitoring and power management, all with the focus on integration in DySCAS. Resource monitoring is selected to be further investigated with design and implementation in SHAPE, the reference implementation of DySCAS.To test and verify the resource monitoring system, a load balancing scenario was created. The result from this scenario is presented in graphs for visualization and a discussion about the benefits and drawbacks of the implemented system. Finally the conclusions from both the literature study and the implementation work are summarized and some ideas on future work are presented.</p>

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Collazzo, Yelpo Pablo. "New economic challenges for managing disease prevention and monitoring." Fondazione Gerardo Capriglione Onlus and Regent's University of London, 2017. http://epub.wu.ac.at/6035/1/Collazo_etal_2017_ORBMF_New%2Deconomic.pdf.

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Managing disease prevention and monitoring its progression benefits professionals facing the challenge of acquiring new knowledge and information for fighting the many diseases that negatively affect the life of people in areas such as public health systems, families, economic and business systems. From economic and operational points of view, Cancer Registries as organisations managing information by collecting, storing, reporting and interpreting data to improve cancer monitoring which is needed to plan health policies evaluation and design. Sustaining the role of the Cancer Registry as information system for fighting against cancer relies on paying attention on regulatory and ethical aspects with regard to the protection of confidential data, understanding and meeting the organisational challenges, learning from theory and practice emerging from the comparison of international experiences, bringing together voluntary, private initiatives of associations and public programs for sustaining the relevance of gathering and collecting data, information for knowledge about managing prevention and monitoring of the disease as core competence for driving public health systems towards sustainable development. Regulatory and organizational infrastructures help improve both information and knowledge management and design and implement effective measures and initiatives leading to efficacy in preventing and monitoring cancer disease as support to medical scientific research for cancer cure.

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Roubos, Craig Richard. "Monitoring and managing blueberry gall midge (Diptera: Cecidomyiidae) in rabbiteye blueberries." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0024872.

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Keys, Tyler Adam. "Monitoring and Managing River Corridors in the Midst of Growing Water Demand." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/94643.

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Rivers and their surrounding riparian and subsurface ecosystems, known as river corridors, are important landscape features that provide a myriad of ecological and societal benefits. While the importance of riverine flooding has been widely acknowledged and extensively studied, very little research has been conducted on the interactions between river channels and their adjacent floodplains. The importance of this hydrologic connectivity between rivers and floodplains has been emphasized in recent decades and now ecological engineering techniques such as stream restoration are often utilized to restore connectivity between streams and their riparian ecosystems. Despite its ubiquity in practice, there are still many basic components of river-floodplain connectivity that are not well understood. Furthermore, a lack of cost-effective monitoring techniques makes sustainable management of river corridors quite challenging. Thus, the overall goals of my dissertation were: 1) develop user-friendly river corridor monitoring techniques utilizing cost-effective approaches such as time-lapse digital imagery and satellite remote sensing and 2) identify the effects of anthropogenic activities on river corridor hydrologic and biogeochemical processes that occur at varying spatial and temporal scales during flood events. These goals were addressed through five independent studies that span spatiotemporal scales. The five studies utilized a combination of novel remote sensing, hydrologic/hydraulic modeling, and high frequency spatial sampling techniques to analyze river corridor dynamics. Results highlight that digital imagery and satellite remote sensing can be effective tools for monitoring river corridors in data scare regions. Additionally, impounding streams and river corridors alters floodplain connectivity and biogeochemical processing of reactive solutes such as nitrogen and phosphorus. Findings from this work highlight the important role that spatial and temporal scale plays in river corridor dynamics. Overall, this research provides new analytical techniques and findings that can be used to effectively monitor and manage river corridors.<br>PHD

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Maxhuni, Alban. "Managing the Scarcity of Monitoring Data through Machine Learning in Healthcare Domain." Doctoral thesis, Università degli studi di Trento, 2017. https://hdl.handle.net/11572/369267.

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In the field of Ubiquitous Computing, a significant problem of building accurate machine learning models is the effort and time consuming process to gather labeled data for the learning algorithm. Moreover, efficient data use demands are constantly growing. These demands for efficient data use are growing constantly. Researchers are therefore exploring the use of machine learning techniques to overcome the problem of data scarcity. In healthcare, classification tasks require a ground truth normally provided by an expert physician, ending up with a small set of labeled data with a larger set of unlabeled data. It is also common to rely on self-reported data through questionnaires, however, this introduce an extra burden to the user who is not always able or willing to fill in. Finally, in some healthcare domains it is important to be able to provide immediate response (feedback), even if the user is not familiarized with the use of an application. In all of these cases the amount of available data may be insufficient to produce reliable models. This thesis proposes a new approach specifically designed for the challenges in producing better predictive models. We propose using our novel Intermediate Models to predict the mood variables associated with the questionnaire using data acquired from smartphones. Then, we use the predicted mood variables with the rest of the data to predict the class, in our empirical assessment, the state mood of a bipolar disorder patient or stress levels of employees have been used. The motivation behind this new approach is that there are relevant proposed methods such as latent variables used as intermediate information helping to create better predictive models. These methods are used in literature to complete the missing data using the most common value, the most probable value given the class, or induce a model for predicting missing values using all the information from features and the class. However, these variables are artificially created and used as intermediate information to build better model. In our Intermediate Models, we know in advance how many mood variables to use and we have the information from these variables, which allow us to produce better models. To address scarce data, we propose applying a semi-supervised learning setting while taking advantage of the presence of all unlabeled datasets. In addition, we propose using transfer learning methods that is used to improve the learning performance with the aim at avoiding expensive data labeling efforts. To the best of our knowledge, there are few works that have used transfer learning for healthcare applications to address the problem of limited labeled data. The proposed methods have been applied in two different healthcare fields: mental-health and human behaviour field. This thesis addresses two classification problems, a) classification of episodic state of bipolar disorder patients, and b) detecting work-related stress using data acquired from smartphone sensing modalities.

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Maxhuni, Alban. "Managing the Scarcity of Monitoring Data through Machine Learning in Healthcare Domain." Doctoral thesis, University of Trento, 2017. http://eprints-phd.biblio.unitn.it/2079/1/PhD-Thesis.pdf.

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In the field of Ubiquitous Computing, a significant problem of building accurate machine learning models is the effort and time consuming process to gather labeled data for the learning algorithm. Moreover, efficient data use demands are constantly growing. These demands for efficient data use are growing constantly. Researchers are therefore exploring the use of machine learning techniques to overcome the problem of data scarcity. In healthcare, classification tasks require a ground truth normally provided by an expert physician, ending up with a small set of labeled data with a larger set of unlabeled data. It is also common to rely on self-reported data through questionnaires, however, this introduce an extra burden to the user who is not always able or willing to fill in. Finally, in some healthcare domains it is important to be able to provide immediate response (feedback), even if the user is not familiarized with the use of an application. In all of these cases the amount of available data may be insufficient to produce reliable models. This thesis proposes a new approach specifically designed for the challenges in producing better predictive models. We propose using our novel Intermediate Models to predict the mood variables associated with the questionnaire using data acquired from smartphones. Then, we use the predicted mood variables with the rest of the data to predict the class, in our empirical assessment, the state mood of a bipolar disorder patient or stress levels of employees have been used. The motivation behind this new approach is that there are relevant proposed methods such as latent variables used as intermediate information helping to create better predictive models. These methods are used in literature to complete the missing data using the most common value, the most probable value given the class, or induce a model for predicting missing values using all the information from features and the class. However, these variables are artificially created and used as intermediate information to build better model. In our Intermediate Models, we know in advance how many mood variables to use and we have the information from these variables, which allow us to produce better models. To address scarce data, we propose applying a semi-supervised learning setting while taking advantage of the presence of all unlabeled datasets. In addition, we propose using transfer learning methods that is used to improve the learning performance with the aim at avoiding expensive data labeling efforts. To the best of our knowledge, there are few works that have used transfer learning for healthcare applications to address the problem of limited labeled data. The proposed methods have been applied in two different healthcare fields: mental-health and human behaviour field. This thesis addresses two classification problems, a) classification of episodic state of bipolar disorder patients, and b) detecting work-related stress using data acquired from smartphone sensing modalities.

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Alqabandi, Naiemah. "Prescription Patterns and Monitoring Parameters in Managing Diabetes at the End of Life." Thesis, Griffith University, 2017. http://hdl.handle.net/10072/365661.

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Background Diabetes is a common chronic disorder, the prevalence of which has increased substantially in the past decade with significant burden of illness to the patient, carers and society. Diabetes management in terminally ill patients is complex and challenging and it is one of the common co-morbidities seen in the terminal phase of life. With limited life expectancy, co-morbid conditions and high medication burden, diabetes management becomes more challenging in this population. The evidence base to inform practice on diabetes management outcomes at end of life is weak. The current practice is predominantly empiric with over reliance on expert opinion. The goal of treatment is limited to the prevention of hypoglycaemia and osmotic symptoms caused by elevated blood sugar levels, rather than intensified prevention of diabetes-related long-term complications. The limited evidence based protocols emphasise individualising the glycaemic control plan according to the patient’s need with the goal to improve the quality of life and to eliminate patient discomfort. In patients with type 1 diabetes, insulin is essential for life and discontinuation may lead to a critical life-threatening state crisis. However, there are many insulin preparations with questionable pharmacodynamics profiles. There is no agreement on the optimal insulin type to be used in type 1 diabetics.<br>Thesis (Masters)<br>Master of Medical Research (MMedRes)<br>School of Medical Science<br>Griffith Health<br>Full Text

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Chaparadza, Ranganai Verfasser], and Ina [Akademischer Betreuer] [Schieferdecker. "On-Demand Monitoring: a Monitoring Paradigm for Traffic Flows in Multi-Service Self-Managing Networks / Ranganai Chaparadza. Betreuer: Ina Schieferdecker." Berlin : Universitätsbibliothek der Technischen Universität Berlin, 2012. http://d-nb.info/1019398574/34.

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Astbury, Evette Lisa. "Managing and monitoring endangered species : with particular reference to the black rhino in Kenya." Thesis, Manchester Metropolitan University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.516338.

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Books on the topic "Monitoring and managing of ADRs"

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Das, Jayanta, and Sudip Kumar Bhattacharya, eds. Monitoring and Managing Multi-hazards. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-15377-8.

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Beal, Andy. Radically transparent: Monitoring and managing reputations online. Wiley Technology Pub., 2008.

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Gordon, Nelson James, Butler R, Wall Geoffrey, University of Waterloo. Dept. of Geography., and Heritage Resources Centre, eds. Tourism and sustainable development: Monitoring, planning, managing. University of Waterloo, Dept. of Geography, 1993.

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Eckerson, Wayne W. Performance dashboards: Measuring, monitoring, and managing your business. 2nd ed. Wiley, 2010.

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American Institute of Certified Public Accountants. Management of an Accounting Practice Committee., ed. Managing by the numbers: Monitoring your firm's profitability. American Institute of Certified Public Accountants, 1993.

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International Business Machines Corporation. International Technical Support Organization, ed. PowerVM virtualization on IBM System p: Managing and monitoring. IBM, International Technical Support Organization, 2008.

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United States. Mine Safety and Health Administration, ed. Mine emergency response plan: Responding, managing, monitoring district 5. U.S. Dept. of Labor, Mine Safety and Health Administration?], 1997.

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Farine, D. New technologies for managing labor. De Gruyter, 2015.

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Katz, Jacqueline. Managing quality: A guide to monitoring and evaluating nursing services. Mosby Year Boook, 1992.

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Mauro, Paolo. Monitoring and managing fiscal risks in the East African Community. International Monetary Fund, 2015.

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Book chapters on the topic "Monitoring and managing of ADRs"

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Frostell, C. G. "Monitoring and Safety of Inhaled Nitric Oxide." In Role of Nitric Oxide in Sepsis and ADRS. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79920-4_22.

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Bidault, Francis. "Monitoring relational quality." In Managing Joint Innovation. Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1057/9781137284112_10.

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Gerrits, Robert. "Monitoring and Evaluation." In Managing Community Resettlement. Routledge, 2023. http://dx.doi.org/10.4324/9781003358725-14.

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Anderson, Jeanne L. Hites, and Maurine Pyle. "Monitoring and Managing Change." In Making Change. Routledge, 2020. http://dx.doi.org/10.4324/9781003009962-41.

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Einhorn, Frank. "Project Monitoring, Control, and Communication." In Managing Business Projects. Auerbach Publications, 2022. http://dx.doi.org/10.1201/9781003321101-18.

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James, Eric. "Monitoring and evaluating a project." In Managing Humanitarian Relief. Practical Action Publishing, 2008. http://dx.doi.org/10.3362/9781780440972.019.

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Robertson, Douglas. "Operational Risk Monitoring and Control." In Managing Operational Risk. Palgrave Macmillan US, 2016. http://dx.doi.org/10.1007/978-1-137-44217-8_4.

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Gregory, Maxine, and Jayne Wilson. "Monitoring and evaluation." In Managing and Developing Community Sport. Routledge, 2018. http://dx.doi.org/10.4324/9781315561356-14.

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Pot’vin, Kellyn, Anand Akela, Gokhan Atil, et al. "Managing and Monitoring Best Practices." In Expert Oracle Enterprise Manager 12c. Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-4939-9_7.

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Ward, Bob. "Managing and Monitoring SQL Server." In Pro SQL Server on Linux. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-4128-8_9.

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Conference papers on the topic "Monitoring and managing of ADRs"

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Sheetal, Attar Mahay, Jenolin Rex M, Rohit Ravi, Madakari Nayaka HM, Tejas S, and Venkatesh M. Bhat. "Intelligent Monitoring and Managing of Edge Devices." In 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2024. http://dx.doi.org/10.1109/icesc60852.2024.10689881.

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Mihai, Dobre, Dinu Anca Raluca, Popa Ramona Cristina, et al. "A Health Monitoring Platform for Managing Long COVID." In 2024 IEEE SmartBlock4Africa. IEEE, 2024. https://doi.org/10.1109/smartblock4africa61928.2024.10779493.

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Badawi, Abeer, Ahmed Badr, Somayya Elmoghazy, Sara Elgazzar, Khalid Elgazzar, and Amer M. Burhan. "A Real-Time System for Monitoring and Managing Neuropsychiatric Symptoms in Dementia Patients." In 2024 6th International Conference on Communications, Signal Processing, and their Applications (ICCSPA). IEEE, 2024. https://doi.org/10.1109/iccspa61559.2024.10794318.

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Fainerman, Ari, Federico Fuidio, Cristina Mayr, et al. "An IoT Application Based on LoRa for Monitoring and Managing a Rural Establishment." In 2024 L Latin American Computer Conference (CLEI). IEEE, 2024. http://dx.doi.org/10.1109/clei64178.2024.10700563.

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Ismail, D. "Integrated Process Safety Tools for Managing Risk of Abnormal Operations Condition in Medco E&P." In Digital Technical Conference. Indonesian Petroleum Association, 2020. http://dx.doi.org/10.29118/ipa20-f-233.

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Process safety is paramount for the oil and gas industry including Medco E&P. Process Safety is essential to prevent major incidents that may have significant impacts in terms of economic loses, environmental damage, and even human loss. Having a strong Asset and Operating integrity programs is a key to carrying out a strong process safety in day-to-day operations. One element in asset and operations integrity that contributes to delivering a safe operations is managing abnormal operation conditions. Abnormal operation condition is defined as operations with process/system/equipment anomaly because they are outside the safe operating limit (SOL), safety critical equipment (SCE) performance degradation, SCE integrity failure, and disable safety protected function. In Medco E&P, abnormal operations risk have been assessed and managed by several tools or systems such as Safety Critical Element Abnormal Risk Assessment (SCEARA), Integrated Anomaly Alert Notification (IAAN) and SCE Preventive and Corrective Maintenance (SCE PM & CM) deferment process. These tools are made as an effort in case of continuous operations under abnormal conditions is intended by minimizing residual risk to a tolerable level. These tools are implemented by online system in Medco E&P’s enterprise resource planning, known as Business Process Management (BPM). The findings reported from the audit and self-assessment showed that it is perplexing to monitor and track between the correlated systems. This later encouraged the integration of the above tools for better abnormal operation risk management. The integration of the system then introduced as Integrated Process Safety Tools. The Integrated Process Safety Tools adds values to the management of abnormal conditions by reducing overlapping processes in the business process flow, facilitating monitoring and mitigation control, and aligning the SCE deviation mitigation periods based on risks; ranging from report initiation, work order planning until deferment processes and also clear commitment to complete abnormality. Integrated Process Safety Tools are designed to be one of the foundations in building awareness and culture of Process Safety within the Company. This paper shares the experience in managing abnormal operation condition in Medco E&P offshore operations assets both surface facility and subsurface facility that associated with Safety Critical Equipment (SCE) and its enhancement through The Integrated Process Safety Tools. The Integrated Process Safety Tools adds values to the management of abnormal conditions by reducing overlapping processes in the business process flow, simplify monitoring and mitigation control, and aligning the SCE deviation mitigation periods based on risks; ranging from report initiation, work order planning until deferment processes, also clear commitment to complete abnormality.

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Ruiz Flores, Luis Ivan. "ADMS Technology: the Challenges of Modeling to Operating Electrical Systems With Digital Twins." In ASME 2022 Power Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/power2022-86577.

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Abstract In this article, we present the evolution of “off-line analysis”, associated with a single-line diagram, and its analysis in steady state, and transient state, towards an “online analysis” of the electric system model, with an interface for Provide users the ability to analyze with “Real-time technology”. In addition, the benefit of implementing this Real-Time Technology capable of monitoring, operating, managing the electrical network and performing analysis of the electrical system will be shown. In addition, it will show the relationship ADMS has with construction engineering, and what is sought from the design of the “electric model” to achieve the integration of systems. The opportunity to have an integrated and unified electric model in which it can be performed: state estimation and load distribution; monitoring and control; predictive simulation of the type “What would happen if?” Forensic analysis; contingency analysis; historical data and analytical tools; automated operation based on SCADA – Supervisory Control and Data Acquisition, DMS – Demand Management System, EMS – Energy Management System, EMCS – Energy Monitoring and Control System, PMS – Power Management System, SCMS – Substation Control and Monitoring System; and maintenance management of the electrical system. The “Real-time Technology” is reflected by having a true ADMS, advanced distribution management system. The purpose of the article is to guide specialists and operators of electrical distribution systems, as well as dispatchers, planning engineers, reliability analysts and managers, in the implementation of ADMS with the possibility of integrating legacy and third-party software: creating a - digital twin - allowing from modeling to operation.

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Nakash, Maayan. "Agile Software Development: The Experience of Working in Sprints [Research in Progress]." In InSITE 2024: Informing Science + IT Education Conferences. Informing Science Institute, 2024. http://dx.doi.org/10.28945/5252.

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Aim/Purpose. This exploratory study seeks to surface a richer understanding regarding the direct experience of software developers (SDs) working in sprints as part of the adoption of agile methodology principles. Background. The software development industry is increasingly adopting agile development methods. In the agile methodology, the delivery cycle is broken down into sprints, also known as iterations. There is relatively little empirical knowledge produced to date on agile software development methods. Specifically, the SDs’ authentic work experience in agile sprints is a subject that is missing from the literature. Methodology. This paper presents results based on data collected through preliminary in-depth interviews with SDs working in research and development teams of Israeli high-tech companies. As a heuristic device for describing their experience, an interpretive phenomenological perspective was adopted. Content analysis was used as a central methodology to analyze the data. Findings. The preliminary results present the ways of managing a development project in sprints, put a spotlight on the value of the agile method, and provide a unique glimpse of its challenges. Contribution. Our work adds to the growing body of research investigating the SDs’ perceptions. The preliminary results develop the theoretical and practical knowledge related to managing agile sprints, with reference to optimal communication, monitoring, control, and knowledge sharing among SDs in agile projects.

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Arukhe, James O., Khalid A. Ghamdi, and Ammal F. Anazi. "Machine Learning Framework for Treating and Preventing Scale Formation." In Offshore Technology Conference. OTC, 2025. https://doi.org/10.4043/35618-ms.

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Abstract The proposed paper presents a Generative Adversarial Network (GAN)-based machine learning framework designed to predict, treat, and prevent scale formation in offshore oil and gas operations. By integrating dummy data that simulates real-time well data, geochemical analysis, and operational parameters, the framework optimizes chemical injection and mechanical interventions, improving efficiency and mitigating scale-induced flow restrictions and equipment failures. The framework utilizes a machine learning model trained on historical well operation data, geochemical properties, and real-time monitoring inputs allowing the model to predict scale formation risks, identifies specific types of scale, and recommends tailored chemical treatments and mechanical interventions. A Supervisory Control and Data Acquisition (SCADA) system automates real-time adjustments to the well's operational parameters, including chemical dosages, flow rates, and pressures. The integrated system continuously monitors performance, making proactive adjustments to prevent scale formation before it impacts operations. Results from field tests demonstrate that the machine learning framework can accurately predict scale formation with a risk level categorized by scale type and severity. The system enabled timely, targeted chemical injections and mechanical interventions, significantly reducing scale buildup on wellbore surfaces. This resulted in improved flow efficiency, reduced energy consumption, and extended equipment life. The proactive approach contrasts with traditional reactive treatments, where interventions are applied only after significant scale formation has occurred. The predictive capabilities allowed for optimized chemical use, lowering overall treatment costs and minimizing environmental impact. This paper introduces a novel, data-driven approach to scale prevention that combines real-time monitoring with machine learning predictions. It is among the first to offer a fully integrated, automated framework for dynamically managing scale formation in offshore wells, providing a more efficient, environmentally friendly alternative to conventional methods. This innovation adds to the growing body of knowledge on the application of artificial intelligence in petroleum engineering.

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Varshney, Upkar. "Managing Comprehensive Wireless Patient Monitoring." In 2006 Pervasive Health Conference and Workshops. IEEE, 2006. http://dx.doi.org/10.1109/pcthealth.2006.361686.

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Aktan, A. Emin, Louise K. Comfort, and Donald S. Shanis. "Managing multihazards risk in metropolitan USA." In NDE for Health Monitoring and Diagnostics, edited by Steven R. Doctor, Yoseph Bar-Cohen, and A. Emin Aktan. SPIE, 2003. http://dx.doi.org/10.1117/12.484669.

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Reports on the topic "Monitoring and managing of ADRs"

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Desai, Harsh, Gabriele Maneo, Erica Pellfolk, and Annika Schlingheider. Managing to Adapt: Analysing adaptive management for planning, monitoring, evaluation, and learning. Oxfam, 2018. http://dx.doi.org/10.21201/2017.2159.

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TAHIR-KHELI, SHIRIN, and KENT L. BIRINGER. Cooperative Monitoring Center Occasional Paper/Reducing Risk in South Asia: Managing India - Pakistan Tensions. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/782586.

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Michaelsen, Sofie F., Robert Montgomery, Hilary Hoagland-Grey, and Gregory F. Maggio. Managing labor issues in infrastructure projects. Inter-American Development Bank, 2006. http://dx.doi.org/10.18235/0009010.

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In order to assist project companies in understanding and complying with labor requirements, the PRI ESU has developed the present guideline with three main objectives first, to educate and inform project companies, financiers and other relevant parties about the labor rights conditions that for private sector investment projects; second, to provide a reference manual for those staff who conduct due diligence and supervision or monitoring reviews of labor aspects in projects; and third, to help companies and their projects conform to and go beyond legal conditions.

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Moodie, John, Tuulia Rinne, Johanna Alakerttula, Henrika Ruokonen, and Johanna Leino. Developing and Managing Innovation Ecosystems in the Circular Economy - Outline of a Digital Monitoring Tool. Nordregio, 2018. http://dx.doi.org/10.30689/pb2018:4.2001-3876.

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Chirani, Mohammed. Managing terrorist and radicalised prisoners: France's strategy. ICCT, 2024. http://dx.doi.org/10.19165/2024.8140.

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This policy brief delves into France’s strategy for managing Islamist terrorists and radicalized prisoners (2015-2023). The first part spans the evolution of challenges within the French prison system, covering the return of foreign terrorist fighters (FTFs) and responses to terrorist attacks carried out between 2015 and 2018. The second part details key approaches for managing radicalised inmates, encompassing assessment, prison regimes, rehabilitation, monitoring, and post-release reintegration. The last section explains why it was necessary to identify the Salafi-jihadism threat to tailor prison approaches specifically to this ideology. The recommendations underscore the importance of effective communication regarding the necessity to tailor prison regimes to levels of violent radicalisation while upholding human rights. Finally, the policy brief advocates adapting counter-terrorism strategies to address Salafi-Jihadi ideology. The analysis presented in this paper draws upon the professional experience of its author, who in prisons has dedicated six years to working in P/CVE within the French prison system, as well as insights gathered from open-source materials.

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Echebarría, Koldo. Managing for Development Results at the Inter-American Development Bank. Inter-American Development Bank, 2011. http://dx.doi.org/10.18235/0006904.

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This presentation provides effective management strategies and instruments to measure results of interventions at the project and country level. The presenter includes portions of the Development Effectiveness Matrix as well as a review of the Progress Monitoring Report and results-based budgeting.

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Puttkammer, Annette, and Vita Wright. Linking wilderness research and management-volume 2. Defining, managing, and monitoring wilderness visitor experiences: an annotated reading list. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2001. http://dx.doi.org/10.2737/rmrs-gtr-79-v2.

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Honig, Dan. Managing for Motivation as Public Performance Improvement Strategy in Education & Far Beyond. Research on Improving Systems of Education (RISE), 2022. http://dx.doi.org/10.35489/bsg-rise-misc_2022/04.

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People management has an important role to play in improving public agency performance. This paper argues that a ‘Route Y’ managerial approach focused on supporting the empowered exercise of employee judgment will in many circumstances prove superior to conventionalreform approaches steeped in ‘Route X’ monitoring and incentives. Returns to Route Y are greater when employees are or can become more “mission motivated” – that is, aligned with the goals of the agency in the absence of monitoring and extrinsic incentives. Returns to Route Y are also greater when monitoring is incomplete or otherwise likely to unproductively distort effort, thus lowering the returns to using performance-linked rewards and penalties. I argue that education systems are one (but far from the only) setting where Route Y is a lever worth focusing on in efforts to improve public performance in the developed and developing world alike.

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Johnson, Sarah, Michael Sinclair, Emily Leonard, and Forrest Rosenbower. Development of strategies for monitoring and managing sandscape vegetation, with an assessment of declining vegetation in the Apostle Islands National Lakeshore. National Park Service, 2022. http://dx.doi.org/10.36967/nrr-2293187.

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Coastal dune habitats such as those of the Apostle Islands National Lakeshore (APIS) are regionally rare habitats of global and state-wide concern. Their dynamic, sandy landforms provide habitat for unique species specifically adapted to frequent disturbance, drought, and other stresses. Despite having disturbance-driven life histories, these species are at risk due to increased visitor use of sandscape habitats and environmental change. Resource managers at APIS have long understood the values of these sandscapes and threats presented by recreational trampling, but more recently they have recognized the precarious position that these coastal habitats are in due to their proximity to the lake and exposure to weather-related phenomena linked with long-term climate change. In recognition of emerging threats and the need to track impacts of these threats, park managers initiated a revision of their methods for monitoring sandscape vegetation. We applied these methods to 15 sandscape locations within the national lakeshore in 2014. Here, we outline what these revisions to the methods were, assess the current status of sandscape structure and composition, assess the utility of data collected with these methods, provide suggestions for further revisions of the sampling method, outline a two-tiered sampling approach for future monitoring, and we provide management recommendations. In a second section of the report, we provide a focused assessment of the size and health of Juniperus communis (common juniper), a target species of concern in these sandscape communities after it was observed by park managers to be dying or stressed on Michigan Island. Our assessments include the status of J. communis across all sandscapes monitored in 2014, and an analysis of change over time since 2012 in the health of J. communis on Michigan, Outer, and Stockton Islands. We provide evidence of impacts by rodents on foliar dieback, primarily on Michigan Island, and we discuss possible interactions with the non-native pale juniper web-worm (Aethes rutilana) and with climate change.

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Johnson, Sarah, Michael Sinclair, Emily Leonard, and Forrest Rosenbower. Development of strategies for monitoring and managing sandscape vegetation, with an assessment of declining vegetation in the Apostle Islands National Lakeshore. National Park Service, 2022. http://dx.doi.org/10.36967/nrr-2293187.

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Coastal dune habitats such as those of the Apostle Islands National Lakeshore (APIS) are regionally rare habitats of global and state-wide concern. Their dynamic, sandy landforms provide habitat for unique species specifically adapted to frequent disturbance, drought, and other stresses. Despite having disturbance-driven life histories, these species are at risk due to increased visitor use of sandscape habitats and environmental change. Resource managers at APIS have long understood the values of these sandscapes and threats presented by recreational trampling, but more recently they have recognized the precarious position that these coastal habitats are in due to their proximity to the lake and exposure to weather-related phenomena linked with long-term climate change. In recognition of emerging threats and the need to track impacts of these threats, park managers initiated a revision of their methods for monitoring sandscape vegetation. We applied these methods to 15 sandscape locations within the national lakeshore in 2014. Here, we outline what these revisions to the methods were, assess the current status of sandscape structure and composition, assess the utility of data collected with these methods, provide suggestions for further revisions of the sampling method, outline a two-tiered sampling approach for future monitoring, and we provide management recommendations. In a second section of the report, we provide a focused assessment of the size and health of Juniperus communis (common juniper), a target species of concern in these sandscape communities after it was observed by park managers to be dying or stressed on Michigan Island. Our assessments include the status of J. communis across all sandscapes monitored in 2014, and an analysis of change over time since 2012 in the health of J. communis on Michigan, Outer, and Stockton Islands. We provide evidence of impacts by rodents on foliar dieback, primarily on Michigan Island, and we discuss possible interactions with the non-native pale juniper web-worm (Aethes rutilana) and with climate change.

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