Relevant bibliographies by topics / Risk assessment algorithms

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Risk assessment algorithms'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Risk assessment algorithms"

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Arora, Kavleen, Olga Kostopoulou, and Bence Palfi. "Cancer risk algorithms in primary care: can they impact risk estimates and referral decisions?" British Journal of General Practice 73, suppl 1 (2023): bjgp23X733773. http://dx.doi.org/10.3399/bjgp23x733773.

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BackgroundCancer risk algorithms were introduced to clinical practice in the last decade, but they remain underused.AimIn two randomised controlled experiments, we tested the impact of an unnamed cancer risk algorithm (QCancer) on GPs’ risk assessment and 2-week-wait referral decisions. We also tested the impact of algorithm information, ‘social proof’, and a visual explanation.MethodWe presented two different samples of GPs (totaln=372) with vignettes depicting patients with possible colorectal (Experiment 1) or upper GI (Experiment 2) cancers and measured their risk estimates and inclination
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Hussain, S. Monira, Brian Oldenburg, Yuanyuan Wang, Sophia Zoungas, and Andrew M. Tonkin. "Assessment of Cardiovascular Disease Risk in South Asian Populations." International Journal of Vascular Medicine 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/786801.

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Although South Asian populations have high cardiovascular disease (CVD) burden in the world, their patterns of individual CVD risk factors have not been fully studied. None of the available algorithms/scores to assess CVD risk have originated from these populations. To explore the relevance of CVD risk scores for these populations, literature search and qualitative synthesis of available evidence were performed. South Asians usually have higher levels of both “classical” and nontraditional CVD risk factors and experience these at a younger age. There are marked variations in risk profiles betw
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MARINAKIS, YANNIS, MAGDALENE MARINAKI, and CONSTANTIN ZOPOUNIDIS. "APPLICATION OF ANT COLONY OPTIMIZATION TO CREDIT RISK ASSESSMENT." New Mathematics and Natural Computation 04, no. 01 (2008): 107–22. http://dx.doi.org/10.1142/s1793005708000957.

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This paper presents a novel approach to solve feature subset selection problems using an Ant Colony Optimization (ACO) algorithm. ACO is one of the important naturally inspired intelligent techniques. It is based on the foraging behavior of real ants in nature. The proposed ACO is combined with a number of nearest neighbor classifiers. The resulting ACO algorithm is applied to classify credit risk using data belonging to 1,411 firms obtained from a leading Greek commercial bank. The objective is to classify subject firms into several groups representing different levels of credit risk. The res
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Attigeri, Girija V., M. M. Manohara Pai, and Radhika M. Pai. "Credit Risk Assessment Using Machine Learning Algorithms." Advanced Science Letters 23, no. 4 (2017): 3649–53. http://dx.doi.org/10.1166/asl.2017.9018.

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Bukatina, T. M. "Risk Assessment Algorithms in Pharmacovigilance: A Review." Safety and Risk of Pharmacotherapy 13, no. 2 (2025): 138–48. https://doi.org/10.30895/2312-7821-2025-13-2-138-148.

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INTRODUCTION. In the Russian Federation, risk-based approaches/methods to assess the safety of medicinal products have been used since 2016, but existing models based on them are few and applicable mainly to healthcare organizations. This underscores the need to systematise risk assessment procedures for medicinal products within pharmacovigilance frameworks by pharmacovigilance specialists using a risk-based approach in the risk management system.AIM. This study aimed to analise of the key tools of the risk-based approach and optimise their application in medicinal product risk management sys
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Dong, Yumin, Ziyang Li, and Changzuo Xie. "Enhancing Forest Fire Risk Assessment: An Ontology-Based Approach with Improved Continuous Apriori Algorithm." Forests 15, no. 6 (2024): 967. http://dx.doi.org/10.3390/f15060967.

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Forest fires are sudden and difficult to extinguish, so early risk assessment is crucial. However, there are currently a lack of suitable knowledge-mining algorithms for forest fire risk assessment. This article proposes an improved continuous Apriori algorithm to mining forest fire rules by introducing prior knowledge to classify input data and enhance its ability to process continuous data. Meanwhile, it constructs an ontology to provide a standardized expression platform for forest fire risk assessment. The improved continuous Apriori algorithm cooperates with ontology and applies the minin
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Haescher, Marian, Wencke Chodan, Florian Höpfner, et al. "Automated fall risk assessment of elderly using wearable devices." Journal of Rehabilitation and Assistive Technologies Engineering 7 (January 2020): 205566832094620. http://dx.doi.org/10.1177/2055668320946209.

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Introduction Falls cause major expenses in the healthcare sector. We investigate the ability of supporting a fall risk assessment by introducing algorithms for automated assessments of standardized fall risk-related tests via wearable devices. Methods In a study, 13 participants conducted the standardized 6-Minutes Walk Test, the Timed-Up-and-Go Test, the 30-Second Sit-to-Stand Test, and the 4-Stage Balance Test repeatedly, producing 226 tests in total. Automated algorithms computed by wearable devices, as well as a visual analysis of the recorded data streams, were compared to the observation
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Etra, Aaron, Stephanie Gergoudis, George Morales, et al. "Assessment of systemic and gastrointestinal tissue damage biomarkers for GVHD risk stratification." Blood Advances 6, no. 12 (2022): 3707–15. http://dx.doi.org/10.1182/bloodadvances.2022007296.

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Abstract We used a rigorous PRoBE (prospective-specimen collection, retrospective-blinded-evaluation) study design to compare the ability of biomarkers of systemic inflammation and biomarkers of gastrointestinal (GI) tissue damage to predict response to corticosteroid treatment, the incidence of clinically severe disease, 6-month nonrelapse mortality (NRM), and overall survival in patients with acute graft-versus-host disease (GVHD). We prospectively collected serum samples of newly diagnosed GVHD patients (n = 730) from 19 centers, divided them into training (n = 352) and validation (n = 378)
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Cervone, G., P. Franzese, Y. Ezber, and Z. Boybeyi. "Risk assessment of atmospheric emissions using machine learning." Natural Hazards and Earth System Sciences 8, no. 5 (2008): 991–1000. http://dx.doi.org/10.5194/nhess-8-991-2008.

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Abstract. Supervised and unsupervised machine learning algorithms are used to perform statistical and logical analysis of several transport and dispersion model runs which simulate emissions from a fixed source under different atmospheric conditions. First, a clustering algorithm is used to automatically group the results of different transport and dispersion simulations according to specific cloud characteristics. Then, a symbolic classification algorithm is employed to find complex non-linear relationships between the meteorological input conditions and each cluster of clouds. The patterns d
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Qin, Rongyuan. "The Construction of Corporate Financial Management Risk Model Based on XGBoost Algorithm." Journal of Mathematics 2022 (April 13, 2022): 1–8. http://dx.doi.org/10.1155/2022/2043369.

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Corporate financial management is a tedious task, and it is a complicated thing to rely solely on the human resources of financial personnel to manage. With the continuous development of intelligent algorithms and machine learning algorithms, new ideas have been brought to enterprise financial risk assessment. This method will not only save a lot of financial and material resources but also improve the accuracy of enterprise financial risk assessment. Compared with machine learning algorithms such as random forests and support vector machines, the extreme gradient boosting (XGBoost) algorithm
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Dissertations / Theses on the topic "Risk assessment algorithms"

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Palhares, André Vitor de Almeida. "Probabilistic Risk Assessment in Clouds: Models and Algorithms." Universidade Federal de Pernambuco, 2012. https://repositorio.ufpe.br/handle/123456789/10423.

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Submitted by Pedro Henrique Rodrigues (pedro.henriquer@ufpe.br) on 2015-03-04T17:17:29Z No. of bitstreams: 2 dissert-avap.pdf: 401311 bytes, checksum: 5bd3f82323bd612e8265a6ab8a55eda0 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5)<br>Made available in DSpace on 2015-03-04T17:17:29Z (GMT). No. of bitstreams: 2 dissert-avap.pdf: 401311 bytes, checksum: 5bd3f82323bd612e8265a6ab8a55eda0 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Previous issue date: 2012-03-08<br>Cloud reliance is critical to its success. Although fault-tolera
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Wiggins, Matthew Corbin. "Bayesian based risk stratification of atrial fibrillation in coronary artery bypass graft patients." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/24775.

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Thesis (Ph.D.)--Bioengineering, Georgia Institute of Technology, 2007.<br>Committee Co-Chair: Litt, Brian; Committee Co-Chair: Vachtsevanos, George; Committee Member: Butera, Robert; Committee Member: Frazier, Bruno; Committee Member: Gerstenfeld, Edward; Committee Member: Hunt, William.
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Doire, Terry L. "Evaluating the Knowledge and Attitudes of Orthopedic Nurses Regarding the Use of SPHM Algorithms as a Standard of Care." NSUWorks, 2019. https://nsuworks.nova.edu/hpd_con_stuetd/63.

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Background: Healthcare workers are ranked among one of the top occupations for musculoskeletal disorder (MSD) injuries that affect the muscles, the bones, the nervous system and due to repetitive motion tasks (Centers for Disease Control and Prevention, 2017). Numerous high-risk patient handling tasks such as lifting, transferring, ambulating and repositioning of patients cause injuries that can be prevented when evidence-based solutions are used for safe patient handling and mobility (SPHM) tasks. Purpose: The purpose of this quality improvement project was to evaluate the knowledge and attit
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Ayati, Marzieh. "Algorithms to Integrate Omics Data for Personalized Medicine." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1527679638507616.

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Ranjeet, Tirtha. "Coevolutionary algorithms for the optimization of strategies for red teaming applications." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2012. https://ro.ecu.edu.au/theses/558.

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Red teaming (RT) is a process that assists an organization in finding vulnerabilities in a system whereby the organization itself takes on the role of an “attacker” to test the system. It is used in various domains including military operations. Traditionally, it is a manual process with some obvious weaknesses: it is expensive, time-consuming, and limited from the perspective of humans “thinking inside the box”. Automated RT is an approach that has the potential to overcome these weaknesses. In this approach both the red team (enemy forces) and blue team (friendly forces) are modelled as inte
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Сович, Вікторія Іванівна. "Оцінювання ризиків складних організаційно-технічних систем за вимогами ДСТУ ISO 31010". Магістерська робота, Київський національний університет технологій та дизайну, 2021. https://er.knutd.edu.ua/handle/123456789/19547.

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Дипломна магістерська робота присвячена питанням щодо оцінювання ризиків та безпеки складних організаційно-технічних систем з урахуванням чинної нормативно-правової документації, зокрема міжнародних стандартів ДСТУ ISO 31010. В роботі проаналізовано терміни щодо визначення поняття ризик і запропоновано трактувати "ризик" як результат невизначеності завдань, які охоплюють події, що можуть відбутися, а можуть не відбутися та привести до несприятливих ситуацій або наслідків. Доведено, що рівень невизначеності обумовлюється неясністю чи неточністю інформації щодо ризику, джерел, подій та наслідків
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Miroslava, Sladojević. "Metode istraživanja podataka u evaluaciji intra-hospitalnog ishoda obolelih od akutnog infarkta miokarda lečenih primarnom perkutanom koronarnom intervencijom." Phd thesis, Univerzitet u Novom Sadu, Medicinski fakultet u Novom Sadu, 2016. http://www.cris.uns.ac.rs/record.jsf?recordId=101088&source=NDLTD&language=en.

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Uvod: Stratifikacija rizika je postala integralna komponenta savremenog pristupa tretmanu u kliničkoj praksi. Danas se u dijagnostici i lečenju akutnog infarkta miokarda (AIM) koriste različiti skorovi rizika kao prognostički instrumenti za kratkoročan i dugoročan ishod bolesti. Nužni proceduralni procesi, u toku primarne perkutane koronarne intervencije (pPKI), kao i saznanja o distribuciji i vrstama lezija koronarnih arterija su od velikog značaja, te se preporučuje finalna evaluacija rizika neposredno nakon izvr&scaron;ene pPKI. Metode istraživanja podataka omogućavaju pronalaženje skriveni
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Aurangabadwala, Tehsin T. "DEVELOPMENT OF AN EXPERT ALGORITHM TO IDENTIFY RISKS ASSOCIATED WITH A RESEARCH FACILITY." Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1173823780.

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Peacock, Lora. "Eco-climatic assessment of the potential establishment of exotic insects in New Zealand." Lincoln University, 2005. http://hdl.handle.net/10182/1530.

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To refine our knowledge and to adequately test hypotheses concerning theoretical and applied aspects of invasion biology, successful and unsuccessful invaders should be compared. This study investigated insect establishment patterns by comparing the climatic preferences and biological attributes of two groups of polyphagous insect species that are constantly intercepted at New Zealand's border. One group of species is established in New Zealand (n = 15), the other group comprised species that are not established (n = 21). In the present study the two groups were considered to represent success
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Guedj, Mikaël. "Peut-on déléguer le tri des urgences ophtalmologiques à un algorithme informatisé auto-implémenté par le patient ? : le projet ICARE (Interactive Care Assessment of Risk factors and Emergency levels)." Thesis, Sorbonne Paris Cité, 2018. http://www.theses.fr/2018USPCB190.

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Chaque année en France, 4 millions de consultations en urgence ne sont pas justifiées d'un point de vue médical et presque la moitié des patients se présentant aux Urgences auraient vocation à être traités ailleurs, libérant ainsi les services d'Urgences destinés à traiter les réelles situations urgentes. L'engorgement des Urgences a conduit les services à mettre en place une priorisation de la prise en charge à l'accueil des patients ; cette priorisation n'est pas standardisée ni rationalisée. Nous avons conçu un outil informatisé permettant le tri des niveaux d'urgence en fonction des symptô
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Books on the topic "Risk assessment algorithms"

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W, Millikan Keith, Saclarides Theodore J. 1956-, and SpringerLink (Online service), eds. Common Surgical Diseases: An Algorithmic Approach to Problem Solving. Springer Science+Business Media, LLC, 2008.

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Kazakova, Nataliya, Vera Kogdenko, and Thi Doan. Sustainable development analytics and stakeholder risk assessment in non-financial reporting. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/2076797.

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The monograph is devoted to the sectoral aspects of the analysis of sustainable development and the formation of non-financial reporting of public companies focused on the disclosure of stakeholder risks. It contains a large empirical base and covers four key areas: a risk-oriented concept of non-financial reporting; an algorithm for forming a standard model of industry non-financial reporting in the field of sustainable development; analytical tools for assessing the disclosure of risks associated with the company's activities in corporate (non-financial) reporting; industry analysis of the s
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Boulton, Jill E., Kevin Coughlin, Debra O'Flaherty, and Alfonso Solimano, eds. ACoRN: Acute Care of at-Risk Newborns. 2nd ed. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780197525227.001.0001.

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The Acute Care of at-Risk Newborns (ACoRN) program trains health care providers to stabilize that most challenging and enigmatic of medical patients: the unwell newborn. Early assessment, intervention, and management of at-risk or unstable infants can be critical for their survival and long-term health. Clinical care standards and educational programs to address these requirements are needed. The ACoRN program provides a unique, prioritized, and systematic approach to newborn stabilization for health care professionals with any degree of experience. ACoRN-trained providers learn to gather info
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Economou, S. G., Theodore J. Saclarides, Keith W. Millikan, and Jonathan A. Myers. Common Surgical Diseases: An Algorithmic Approach to Problem Solving. Springer, 2013.

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AlJaroudi, Wael. Risk Assessment in Acute Coronary Syndromes. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199392094.003.0013.

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Acute coronary syndromes (ACS) include unstable angina pectoris (UAP), non-ST elevation (NSTEMI), and ST elevation acute myocardial infarction (STEMI). Each year, more than 2 million people are hospitalized with ACS in the United States. The initial treatment has evolved over the last few decades from conservative management to early reperfusion therapy. Medical therapy has also significantly changed with the use of newer more potent antiplatelet agents, beta-blockers, angiotensin converting enzyme inhibitors, statins, and anti-anginal drugs, which have resulted in improvement of patient care
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Elkhateb, Rania, and Jill M. Mhyre. Difficult Airway: Special Considerations in Pregnancy. Edited by Matthew D. McEvoy and Cory M. Furse. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190226459.003.0053.

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Pregnant patients are at increased risk of difficult airway management due to both anatomic and physiologic changes that occur with pregnancy and during the process of labor. While the majority of surgical procedures on labor and delivery are performed with neuraxial anesthesia, general anesthesia may be required at any time. As such, all anesthesia professionals must be prepared at all times for unplanned and emergent obstetric airway management, including management of the difficult airway in the parturient. Strategies include assessment of patient risk early in labor, maintaining difficult
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Richardson, Michael G. STAT Caesarean Delivery. Edited by Matthew D. McEvoy and Cory M. Furse. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190226459.003.0043.

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During emergency cesarean delivery (CD), indicated by immediate threat to fetal or maternal life, the anesthesiologist must quickly provide anesthesia that is rapid in onset and safe for both patients. Neuraxial anesthesia using well-functioning in-dwelling epidural catheters is achievable with early enough notification. Still, general anesthesia is often the most expedient method. Advanced airway devices and evolving difficult airway management algorithms have likely contributed to observed reductions maternal morbidity and mortality associated with general anesthesia. Long before the crisis
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Wiggins, Benjamin. Calculating Race. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780197504000.001.0001.

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Calculating Race: Racial Discrimination in Risk Assessment presents the historical relationship between statistical risk assessment and race in the United States. It illustrates how, through a reliance on the variable of race, actuarial science transformed the nature of racism and, in turn, helped usher racial disparities in wealth, incarceration, and housing from the nineteenth century into the twentieth. The monograph begins by investigating the development of statistical risk assessment explicitly based on race in the late-nineteenth-century life insurance industry. It then traces how such
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Arsovska, Anita. Rare Causes of Stroke. Edited by Derya Uluduz. Cambridge University Press, 2022. http://dx.doi.org/10.1017/9781108902793.

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Stroke is the second leading cause of death and major cause of long-term disability, directly impacting the quality of life, worldwide. Strokes with more rare, and unknown causes unfortunately receive little to no attention due to the heterogeneity of disorders and a poor understanding of clinical features. There are considerable variations in the etiology of this rare sub-category of stroke; requiring heightened clinical awareness for recognition, evaluation and treatment. This book provides up-to-date guidance, through case reports concisely summarised by global leaders in the field describi
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Cetin, Derrick. Medical Evaluation of the Bariatric Surgery Patient. Edited by Tomasz Rogula, Philip Schauer, and Tammy Fouse. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190608347.003.0002.

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Evaluation of the obese patient requires identification of all comorbidities and health conditions, including underlying cardiac and pulmonary conditions that could have a negative outcome on noncardiac surgery. Once comorbidities have been recognized, aggressive optimization of these medical conditions can provide improved outcomes after bariatric surgery. Estimating medical risk can be performed by several validated classification systems. The preoperative checklist and clinical practice guidelines (CPG) were updated in 2013. The CPG recommendations for preoperative evaluation of the bariatr
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Book chapters on the topic "Risk assessment algorithms"

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Juma, Hussam, Khaled Shaalan, and Ibrahim Kamel. "Customs-Based Distributed Risk Assessment Method." In Parallel Architectures, Algorithms and Programming. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2767-8_37.

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Gu, Jingyun, Zichen Xu, and Cuiying Gao. "RISC: Risk Assessment of Instance Selection in Cloud Markets." In Algorithms and Architectures for Parallel Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05051-1_5.

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Pruthi, Juhi, and Ashutosh Dixit. "Recent Trends in Risk Assessment of Electromagnetic Radiations." In Algorithms for Intelligent Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4626-6_35.

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Andrei, Pricopie, and Cimbru Iulian-Valentin. "Nonlinear Design Optimization of Reinforced Concrete Structures Using Genetic Algorithms." In Seismic Hazard and Risk Assessment. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74724-8_27.

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Pérez-Domínguez, Luis, Pedro Ángel García Aguirre, Delia-Julieta Valles-Rosales, David Luviano-Cruz, and Erwin Martínez Gómez. "Fuzzy Risk Analysis Assessment Applied to Value Stream Mapping." In Algorithms for Intelligent Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3076-0_13.

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McSherry, Bernadette. "Risk Assessment, Predictive Algorithms and Preventive Justice." In Criminal Justice, Risk and the Revolt against Uncertainty. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37948-3_2.

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Tinoco, Joaquim, Luis Ribeiro e Sousa, Tiago Miranda, and Rita Leal e Sousa. "Rockburst Risk Assessment Based on Soft Computing Algorithms." In Lecture Notes in Civil Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73616-3_54.

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Xiong, Ping, Lin Liang, Yunli Zhu, and Tianqing Zhu. "Privacy Risk Assessment for Text Data Based on Semantic Correlation Learning." In Wireless Algorithms, Systems, and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86137-7_22.

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Erdogan, Gencer, and Atle Refsdal. "A Method for Developing Qualitative Security Risk Assessment Algorithms." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76687-4_17.

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Boer, Alexander, Léon de Beer, and Frank van Praat. "Algorithm Assurance: Auditing Applications of Artificial Intelligence." In Progress in IS. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11089-4_7.

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AbstractAlgorithm assurance is a specific form of IT assurance that supports risk management and control on applications of risky algorithms in products and in organizations. These algorithms will often be characterized in organizations as applications of Artificial Intelligence (AI), as advanced analytics, or—simply—as predictive models. The aim of this chapter is to introduce the concept of algorithm assurance, to give some background on the relevance and importance of algorithm assurance, and to prepare the auditor for the basic skills needed to organize and execute an algorithm audit. In t
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Conference papers on the topic "Risk assessment algorithms"

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Zheng, Guangyao. "Military Training Risk Assessment Model Assisted by Algorithms." In 2024 International Conference on Artificial Intelligence, Deep Learning and Neural Networks (AIDLNN). IEEE, 2024. https://doi.org/10.1109/aidlnn65358.2024.00024.

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Liu, Yongsheng, Gehao Liu, Hongyu Xu, Kaibo Zhang, and Haohang Yu. "Research on Fire Risk Assessment of Substation Based on Cloud Computing Model." In 2024 8th International Workshop on Control Engineering and Advanced Algorithms (IWCEAA). IEEE, 2024. https://doi.org/10.1109/iwceaa63616.2024.10823983.

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Liu, Yunhua, Chen Yang, Yuxuan Yang, Xianzhi Yang, and Kangping Yang. "AI-Based Operating System Security Upgrade Risk Assessment and Intelligent Decision-Making Model." In 2025 2nd International Conference on Algorithms, Software Engineering and Network Security (ASENS). IEEE, 2025. https://doi.org/10.1109/asens64990.2025.11011179.

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Xin, Cheng, Cheng Sheng, and Yi Ming. "Research and Application of Grey Assessment Model of Dike Risk Based on ISM-ANP." In 2025 8th International Conference on Advanced Algorithms and Control Engineering (ICAACE). IEEE, 2025. https://doi.org/10.1109/icaace65325.2025.11019672.

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Wu, Yong, Zhen Sun, Shikun Qiu, Haiqing Dong, Qibin Zhou, and Kehan Chen. "Lightning Risk Assessment Method Considering Environmental Factors Based on Artificial Intelligence Algorithms." In 2024 4th International Conference on Smart Grid and Energy Internet (SGEI). IEEE, 2024. https://doi.org/10.1109/sgei63936.2024.10914211.

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Biagiotti, Stephen F., Mark Madden, and Elaine S. Hendren. "Risk Mining: a Predictive Tool to Enhance Pipeline Integrity Assessment." In CORROSION 2002. NACE International, 2002. https://doi.org/10.5006/c2002-02073.

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Abstract Standard methods of evaluating pipeline integrity have stressed index-based and conditional based data assessment processes. Recent works, however, have emphasized the importance of predictive techniques using associations, correlations, sequential patterns and other relationships in evaluating pipeline integrity. Data mining represents a shift from verification-driven data analysis approaches to discovery-driven methods in integrity evaluation. Risk mining involves the analysis of large quantities of data in the process of discovering meaningful new correlations, patterns and trends
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Wang, Na. "Risk Assessment of Unexpected Events in Universities: Graph Theory Algorithms in Complex System Networks." In 2024 International Conference on Interactive Intelligent Systems and Techniques (IIST). IEEE, 2024. http://dx.doi.org/10.1109/iist62526.2024.00001.

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Wang, Jun, Yao Wang, Yihai Li, Zhenglei Wang, and Liangcheng Fan. "Research on the risk assessment method of forest fire induced by distribution lines in forest areas based on fuzzy theory." In International Conference on Algorithms, High Performance Computing and Artificial Intelligence, edited by Pavel Loskot and Liang Hu. SPIE, 2024. http://dx.doi.org/10.1117/12.3051394.

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Gan, Jianqiang. "Application of Big Data Analysis Algorithms in Safety Risk Assessment of Intelligent Building Decoration Construction." In 2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS). IEEE, 2025. https://doi.org/10.1109/icicacs65178.2025.10968215.

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Li, Shaoli, and Xinyun Tang. "Application of Intelligent Algorithms in the Construction of Financial Data Privacy Protection and Risk Assessment Models." In 2024 International Conference on Electronics and Devices, Computational Science (ICEDCS). IEEE, 2024. https://doi.org/10.1109/icedcs64328.2024.00175.

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Reports on the topic "Risk assessment algorithms"

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Letcher, Theodore, John Eylander, Sally Shoop, et al. Predicting frozen ground and thaw risk from standard land model output : data, algorithms, and GeoWATCH implementation. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49844.

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The Geospatial Weather Affected Terrain Conditions and Hazards (GeoWATCH) tool provides real-time mobility predictions at 30 m resolution on demand for any location on the globe. This tool combines dynamic weather data provided by the Air Force 557 Weather Wing (557WW) with static terrain data to downscale soil moisture from global and regional scales to resolutions better suited for terrain analysis applications. Frozen and thawing ground data layers were recently incorporated into the GeoWATCH framework to better support terrain assessment for Warfighter functions in cold regions. This repor
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Hasking, Penelope, Kealagh Robinson, and Kate Tonta. Implementation of a Universal Screening and Referral Program for University Students at Risk of Suicide: A Case Study and Recommendations. Journal of the Australian and New Zealand Student Services Association, 2025. https://doi.org/10.30688/janzssa.2025-1-04.

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Background: University students are at heightened risk of suicide and are reluctant to reach out for support. Traditional risk assessment approaches are unreliable, prompting calls for psychosocial assessments with multivariable algorithms grounded in person-centred approaches. This paper outlines considerations in implementing one such program, identifying potential implementation barriers and offering recommendations for minimising them. Method: We conducted three surveys with university staff and students (total N = 672) to assess acceptability of a preventative screening and referral progr
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Pound, B. G. GRI-99-0000 Gap Analysis of the GRI Research Program on Internal Corrosion. Pipeline Research Council International, Inc. (PRCI), 1999. http://dx.doi.org/10.55274/r0010720.

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Extensive information on the corrosion of steel in aqueous CO2 systems is now available from this program and numerous other sources. This information was reviewed to identify what research has been performed and what research remains to be undertaken to develop a expert system/risk management program. Four areas were examined: corrosion mechanisms, mitigation strategies, monitoring techniques, and models/risk assessment. There were five gaps in mechanisms (two for bacteria and one each for flow rate/chloride concentration, hydrocarbons, and organic acids) and four gaps in mitigation (antibiof
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Tipton, Kelley, Brian F. Leas, Emilia Flores, et al. Impact of Healthcare Algorithms on Racial and Ethnic Disparities in Health and Healthcare. Agency for Healthcare Research and Quality (AHRQ), 2023. http://dx.doi.org/10.23970/ahrqepccer268.

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Objectives. To examine the evidence on whether and how healthcare algorithms (including algorithm-informed decision tools) exacerbate, perpetuate, or reduce racial and ethnic disparities in access to healthcare, quality of care, and health outcomes, and examine strategies that mitigate racial and ethnic bias in the development and use of algorithms. Data sources. We searched published and grey literature for relevant studies published between January 2011 and February 2023. Based on expert guidance, we determined that earlier articles are unlikely to reflect current algorithms. We also hand-se
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Volkova, Nataliia P., Nina O. Rizun, and Maryna V. Nehrey. Data science: opportunities to transform education. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3241.

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The article concerns the issue of data science tools implementation, including the text mining and natural language processing algorithms for increasing the value of high education for development modern and technologically flexible society. Data science is the field of study that involves tools, algorithms, and knowledge of math and statistics to discover knowledge from the raw data. Data science is developing fast and penetrating all spheres of life. More people understand the importance of the science of data and the need for implementation in everyday life. Data science is used in business
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Powell, Troy C. External Threat Risk Assessment Algorithm (ExTRAA). Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1379454.

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Quarry, Mike. PR-462-143703-R01 Development and Evaluation of Guided Wave Structural Health Monitoring for Buried Pipe. Pipeline Research Council International, Inc. (PRCI), 2019. http://dx.doi.org/10.55274/r0011594.

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Excavations to inspect buried piping are often costly and risk damaging other plant assets during the digging. Some utilities have used permanently installed guided wave sensors to monitor piping condition and reduce the excavations. The project that is the subject of this report has two objectives-to evaluate the current state-of-the-art and to create a test bed for vendors to improve their technology and data analysis algorithms. Understanding the state-of-the-art will enable utilities to effectively use guided wave structural health monitoring in support of their underground piping aging ma
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Yaroshchuk, Svitlana O., Nonna N. Shapovalova, Andrii M. Striuk, Olena H. Rybalchenko, Iryna O. Dotsenko, and Svitlana V. Bilashenko. Credit scoring model for microfinance organizations. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3683.

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The purpose of the work is the development and application of models for scoring assessment of microfinance institution borrowers. This model allows to increase the efficiency of work in the field of credit. The object of research is lending. The subject of the study is a direct scoring model for improving the quality of lending using machine learning methods. The objective of the study: to determine the criteria for choosing a solvent borrower, to develop a model for an early assessment, to create software based on neural networks to determine the probability of a loan default risk. Used rese
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Faveri, Benjamin, Maureen Johnson-León, Prem Sylvester, et al. Towards A Global AI Auditing Framework: Assessment and Recommendations. Edited by Luis Adrián Castro-Quiroa, Eloísa Gacía-Canseco, Joan Hassan, et al. International Panel on the Information Environment (IPIE), 2025. https://doi.org/10.61452/zwed1485.

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A high-level précis of the Synthesis Report can be found in the Summary for Policymakers Recommendations for a Global AI Auditing Framework: Summary of Standards and Features. The growing integration of artificial intelligence (AI) into critical sectors of society, from healthcare to education, has the potential to support widespread social transformation and progress. However, AI systems also have the power to perpetuate biases, deepen inequalities, and cause environmental harm. Accurately evaluating the risks and benefits of an AI system requires a careful audit. Current approaches to auditi
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Downard, Alicia, Stephen Semmens, and Bryant Robbins. Automated characterization of ridge-swale patterns along the Mississippi River. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40439.

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The orientation of constructed levee embankments relative to alluvial swales is a useful measure for identifying regions susceptible to backward erosion piping (BEP). This research was conducted to create an automated, efficient process to classify patterns and orientations of swales within the Lower Mississippi Valley (LMV) to support levee risk assessments. Two machine learning algorithms are used to train the classification models: a convolutional neural network and a U-net. The resulting workflow can identify linear topographic features but is unable to reliably differentiate swales from o
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