Relevant bibliographies by topics / Machame Hospital

Contents

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

Academic literature on the topic 'Machame Hospital'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 July 2025

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Journal articles on the topic "Machame Hospital"

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Asubiojo, Benjamin, Peter E. Ng’wamkai, Benjamin C. Shayo, et al. "Predictors and Barriers to Post Abortion Family Planning Uptake in Hai District, Northern Tanzania: A Mixed Methods Study." East African Health Research Journal 5, no. 2 (2021): 182–92. http://dx.doi.org/10.24248/eahrj.v5i2.671.

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Introduction: Post Abortion Care (PAC) encompassing family planning counselling and contraception provision is a key strategy to reducing maternal morbidity and mortality especially in countries with restrictive abortion laws. Various factors affect the uptake of PAC modern family Planning (FP) in different settings. This study aimed at determining the prevalence, assessment of factors and barriers to PAC modern FP uptake in Hai district, Northern Tanzania Methods: A mixed-methods study was conducted using an explanatory sequential design. Exit interviews using questionnaires was conducted amo
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Obsta., Vicky Narea Morales MSc, Jorge Daher Nader PHd Dr., Katherine Rodríguez Obsta, Gabriel Jimenez Obsta, and Cynthia Armijos Bath Obsta. "QUALITY OF HOSPITAL CARE IN THE DELIVERY AND POSTPARTUM AREA OF TEOFIL DÁVILA GENERAL HOSPITAL." International Journal of Research - Granthaalayah 8, no. 3 (2020): 43–48. https://doi.org/10.5281/zenodo.3732964.

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The quality of care in hospital services indicates that it is a matter of academic debate as there are various approaches to its measurement, control and monitoring. The objective is to evaluate the quality of hospital care, analyzing the satisfaction of mothers during the prepartum, delivery and postpartum period at the Teófilo Dávila General Hospital in Machala. The sample was of 200 patients from the area of Gynecology - Obstetrics. The study covers the period between March - August 2019. The research is descriptive, not experimental, it was cross-sectional, since the data wer
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Morales, Vicky Narea, Jorge Daher Nader, Katherine Rodríguez, Gabriel Jimenez, and Cynthia Armijos Bath. "QUALITY OF HOSPITAL CARE IN THE DELIVERY AND POSTPARTUM AREA OF TEOFIL DÁVILA GENERAL HOSPITAL." International Journal of Research -GRANTHAALAYAH 8, no. 3 (2020): 43–48. http://dx.doi.org/10.29121/granthaalayah.v8.i3.2020.125.

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The quality of care in hospital services indicates that it is a matter of academic debate as there are various approaches to its measurement, control and monitoring. The objective is to evaluate the quality of hospital care, analyzing the satisfaction of mothers during the prepartum, delivery and postpartum period at the Teófilo Dávila General Hospital in Machala. The sample was of 200 patients from the area of Gynecology - Obstetrics. The study covers the period between March - August 2019. The research is descriptive, not experimental, it was cross-sectional, since the data were taken only o
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Pavithra, S. E. Suresh Pudi. "Predicting Hospital Stay Length Using Explainable Machine Learning." International Journal of Research Publication and Reviews 6, no. 5 (2025): 8630–32. https://doi.org/10.55248/gengpi.6.0525.1849.

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Apolo-Pérez, Karen Lisseth, Juan Edmundo Álvarez-Gavilanes, and William Giovanni Vicuña-Matute. "Gestión estratégica del talento humano en el Hospital General Machala." CIENCIAMATRIA 7, no. 12 (2021): 38–66. http://dx.doi.org/10.35381/cm.v7i12.419.

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En el mundo de la gestión y desarrollo del talento humano, la capacitación continua es una pieza fundamental. El objetivo de esta investigación es mejorar el modelo de gestión estratégica del HGM y el apoyo a su formación del personal. La investigación fue de tipo descriptiva – trasversal. Se encontró que no existe un adecuado proceso de inducción y capacitación al talento humano, al igual que la inexistente evaluación y control que genera un desempeño laboral inadecuado. El modelo de gestión estratégica aporta sustancialmente al mejoramiento de los procesos, así como también al logro de los o
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Amora, Ana. "The garden in the modern hospital architecture of the ‘Carioca School’ in Rio de Janeiro, Brazil." Gardens and Landscapes of Portugal 5, no. 1 (2018): 22–38. http://dx.doi.org/10.2478/glp-2019-0003.

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Abstract The purpose of this article is to explore the role of gardens in the architecture of hospitals of the so-called “carioca school” of architecture, between the years of 1930 and 1960. In other words, to analyze gardens in the works of carioca architects who surrounded the architect Lucio Costa, or whose projects were influenced by the conceptions of this first generation of modern architects, who first graduated architecture school at the National College of Fine Arts and then, after 1945, at the National College of Architecture, in Rio de Janeiro. The importance of gardens in the archi
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Prado-Ortega, Mauricio, Héctor Carvajal-Romero, Harry Vite-Cevallos, and María Loaiza-Mora. "Gobierno Electrónico: Equipamiento UCI Hospitalarias del Ecuador ante emergencias epidemiológicas, Caso IESS Hospital Machala." Administración 5, no. 5 (2020): 54–66. http://dx.doi.org/10.33386/593dp.2020.5.266.

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Hace una década era necesario e inminente que el Hospital del IESS de Machala de Nivel II referente se la Seguridad Social en la Provincia de El Oro, pueda contar con equipamiento médico para implementar la primera Unidad de Cuidados Intensivos en sus instalaciones. Las altas cifras por derivaciones de los pacientes a clínicas particulares trasladándolos dentro de la ciudad de Machala y a otros Hospitales de Nivel III de mayor complejidad de otras provincias como Guayaquil el Hospital Teodoro Maldonado Carbo y en Cuenca el Hospital José Carrasco Arteaga, eran una constante que hacían un calvar
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Reyes Rueda, Elida, Jorge Armando García Maldonado, Carmen Liliana Paccha Tamay, Sara Esther Vera Quiñonez, and Janeth Del Rosario Rodríguez Sotomayor. "COMPLICACIONES POR HEMODIÁLISIS EN UN HOSPITAL DE LA CIUDAD MACHALA, ECUADOR." Enfermería Investiga 6, no. 2 (2021): 12. http://dx.doi.org/10.31243/ei.uta.v6i2.831.2021.

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Introducción: La hemodiálisis constituye un tipo de terapia renal sustitutiva, indicado en los pacientes con Enfermedad renal crónica (ERC). Estas constituyen un problema de salud pública, afectando al 10% de la población adulta. Producto de enfermedades crónicas no transmisibles (ECNT) como la hipertensión arterial (HTA) o la diabetes mellitus (DM) entre otros. Objetivo: Identificar las complicaciones durante el tratamiento de hemodiálisis en pacientes con ERC. Métodos: Estudio descriptivo, transversal, muestra de 57 pacientes, mayores de 30 años; Se utilizó un cuestionario validado para reco
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Zagui, G. S., K. A. A. Tonani, B. M. Fregonesi, et al. "Tertiary hospital sewage as reservoir of bacteria expressing MDR phenotype in Brazil." Brazilian Journal of Biology 82 (December 31, 2022): 1–6. https://doi.org/10.1590/1519-6984.234471.

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Zagui, G. S., Tonani, K. A. A., Fregonesi, B. M., Machado, G. P., Silva, T. V., Andrade, L. N., Andrade, D., Segura-Muñoz, S. I. (2022): Tertiary hospital sewage as reservoir of bacteria expressing MDR phenotype in Brazil. Brazilian Journal of Biology (e234471) 82: 1-6, DOI: 10.1590/1519-6984.234471, URL: http://dx.doi.org/10.1590/1519-6984.234471
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Burneo Cárdenas, Gabriela, Balbina Enith Contento Fierro, and Vjera Romina González Contento. "Atención de enfermería durante el puerperio en un hospital de Machala, Ecuador." Enfermería Investiga: Investigación, Vinculación, Docencia y Gestión 3, no. 1, Mar (2018): 21–25. http://dx.doi.org/10.29033/ei.v3n1.2018.05.

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Introducción: La salud materno-infantil es una prioridad establecida en el Modelo de Atención Integral de Salud-Familiar, Comunitario, Intercultural, por lo tanto, el accionar del profesional de enfermería contribuye en el cumplimiento del mencionado modelo.Objetivo: El objetivo general fue evaluar la atención de enfermería durante el puerperio en el servicio de gineco-obstetricia de un hospital de Machala, Ecuador. Los objetivos específicos fueron, determinar la aplicación de normas de atención durante el puerperio inmediato y mediato por parte de los profesionales de enfermería, e identifica
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Dissertations / Theses on the topic "Machame Hospital"

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Silva, Marcos Miethicki da. "O Hospital de Clínicas de Porto Alegre : a presença de Jorge Moreira na arquitetura da capital gaúcha." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2006. http://hdl.handle.net/10183/5749.

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A dissertação pretende registrar a história e analisar a arquitetura do Hospital de Clínicas de Porto Alegre. O projeto de Jorge Moreira foi pioneiro na cidade com a intenção de promover a arquitetura moderna que obteve ampla repercussão na Europa entre as duas grandes guerras. Concomitantemente, Moreira participou da maioria dos projetos desenvolvidos pelos integrantes da escola carioca para a capital gaúcha. Após introdução contextual referente ao advento da arquitetura moderna em Porto Alegre e a influência do arquiteto em sua difusão, os três capítulos iniciais verificam os projetos realiz
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Abrahamsson, Kwetczer Louise. "Hospital Readmission Risk Prediction Using Machine Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279582.

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Hospital readmissions result in higher risk of mortality, more difficult treatments and increased cost for the healthcare sector. Therefore, decreasing the number of readmissions are of interest. This thesis sets out to investigate the usefulness of machine learning in hospital readmission risk predictions and further to examine what features are important for predicting the readmission risk. Several feature selection methods and machine learning algorithms were examined in order to find the features that had the most impact on the readmission risk. The methods were applied to data collected f
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Chi, Chih-Lin. "Medical decision support systems based on machine learning." Diss., University of Iowa, 2009. https://ir.uiowa.edu/etd/283.

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This dissertation discusses three problems from different areas of medical research and their machine learning solutions. Each solution is a distinct type of decision support system. They show three common properties: personalized healthcare decision support, reduction of the use of medical resources, and improvement of outcomes. The first decision support system assists individual hospital selection. This system can help a user make the best decision in terms of the combination of mortality, complication, and travel distance. Both machine learning and optimization techniques are utilized in t
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Nangalia, V. "ML-EWS - Machine Learning Early Warning System : the application of machine learning to predict in-hospital patient deterioration." Thesis, University College London (University of London), 2017. http://discovery.ucl.ac.uk/1565193/.

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Preventing hospitalised patients from suffering adverse event (AEs) (unexpected cardiac, arrest, intensive care unit admission, surgery or death) is a priority in healthcare. Almost 50% of these AEs, caused by mistakes/poor standards of care, are thought to be preventable. The identification and referral of a patient at risk of an AE to a dedicated rapid response team is a key mechanism for their reduction. Focussing on variables that are routinely collected and electronically stored (blood test data, and administrative data: demographics, date and method of admission, and co-morbidities), alo
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Garcia-Arce, Andres Patricio. "Strategies for Reducing Preventable Hospital Readmissions on Medicare Patients." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6653.

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The high expenditure of healthcare in the United States (U.S.) does not translate into better quality of care. Indeed, the U.S. healthcare system is recognized by its lack of efficiency and waste (which represents about 20% of the country’s healthcare expenses). Lack of coordination is one of the most referenced causes of waste in the U.S. healthcare system, and preventable hospital readmissions have been acknowledged to be evidence of poor coordination of care. In fiscal year 2013, the Centers for Medicare and Medicaid Services (CMS) established financial penalties for inpatient care reimburs
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Mesgarpour, Mohsen. "Predictive risk modelling of hospital emergency readmission, and temporal comorbidity index modelling using machine learning methods." Thesis, University of Westminster, 2017. https://westminsterresearch.westminster.ac.uk/item/q3031/predictive-risk-modelling-of-hospital-emergency-readmission-and-temporal-comorbidity-index-modelling-using-machine-learning-methods.

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This thesis considers applications of machine learning techniques in hospital emergency readmission and comorbidity risk problems, using healthcare administrative data. The aim is to introduce generic and robust solution approaches that can be applied to different healthcare settings. Existing solution methods and techniques of predictive risk modelling of hospital emergency readmission and comorbidity risk modelling are reviewed. Several modelling approaches, including Logistic Regression, Bayes Point Machine, Random Forest and Deep Neural Network are considered. Firstly, a framework is propo
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Roth, Amanda Mello. "Projeto e preexistência : o caso da ampliação do Hospital de Clínicas de Porto Alegre." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2018. http://hdl.handle.net/10183/174930.

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O presente trabalho trata do Hospital de Clínicas de Porto Alegre, um patrimônio moderno reconhecido no âmbito local, apesar do afastamento de sua concepção original de Jorge Moreira, autor das três versões preliminares realizadas entre 1942 e 1952. A conclusão do projeto se deu em 1958 por Oscar Valdetaro e Roberto Nadalutti, o projeto executado seguiu em grande parte a última versão de Moreira. O valor do grande bloco foi reconhecido com a salvaguarda municipal em 2011, quando a defasagem crescente entre estrutura física e serviços demandavam sua ampliação. O novo projeto proposto afetava “p
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Thaibah, Hilal. "Managing a Hybrid Oral Medication Distribution System in a Pediatric Hospital: A Machine Learning Approach." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1626356839363113.

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Pires, Josadaque Albuquerque da Silva. "(Lou) cure-se!!!: corpos vividos em instaura??es c?nicas no hospital Dr. Jo?o Machado." PROGRAMA DE P?S-GRADUA??O EM ARTES C?NICAS, 2016. https://repositorio.ufrn.br/jspui/handle/123456789/23441.

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Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2017-06-02T22:20:33Z No. of bitstreams: 1 JosadaqueAlbuquerqueDaSilvaPires_DISSERT.pdf: 2007997 bytes, checksum: b6ce5e5b2886b57f686ce947c61aac22 (MD5)<br>Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2017-06-08T21:05:09Z (GMT) No. of bitstreams: 1 JosadaqueAlbuquerqueDaSilvaPires_DISSERT.pdf: 2007997 bytes, checksum: b6ce5e5b2886b57f686ce947c61aac22 (MD5)<br>Made available in DSpace on 2017-06-08T21:05:09Z (GMT). No. of bitstreams: 1 JosadaqueAlbuquerqueDaSilvaPires_DISSERT.pdf: 200799
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Bezerra, C?ntia Guedes. "Moradores cr?nicos de hospital psiqui?trico: um desafio ? desinstitucionaliza??o." Universidade Federal do Rio Grande do Norte, 2010. http://repositorio.ufrn.br:8080/jspui/handle/123456789/17459.

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Made available in DSpace on 2014-12-17T15:38:49Z (GMT). No. of bitstreams: 1 CintiaGB_DISSERT.pdf: 782539 bytes, checksum: 1cd1039b2eef4544b15926fdef7c22d3 (MD5) Previous issue date: 2010-10-07<br>The existence of chronic inhabitants in the psychiatric hospitals imposes a challenge to the Psychiatric Reform, that proposes things such as the gradual and progressive way to extinct mental institutions, once the permanence of the hospital in the system is only necessary because there is not a net of well structured substitute services capable of receiving that demand. This work considered releva
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Books on the topic "Machame Hospital"

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Diniz, Luiz Carlos. O Hospital Muniz Machado: Notas para a história da tuberculose em Pernambuco. Centro de Documentação Oliveira Lima, Universidade de Pernambuco, 1998.

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1839-1908, Machado de Assis, and Lima Barreto 1881-1922, eds. Machado de Assis, Lima Barreto e o hospital psiquiátrico: Textos de "O alienista" e "O cemitério dos vivos" na íntegra. Armazém da Cultura, 2010.

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Almeida, Tatiana. Programa de Integridade e Compliance Do Hospital de Urgência Da Região Sudoeste Dr. Albanir Faleiros Machado: Plano de Trabalho. Independently Published, 2020.

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Reddy, Sandeep. Artificial Intelligence: Applications in Healthcare Delivery. Productivity Press, 2020.

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Reddy, Sandeep. Artificial Intelligence. Taylor & Francis Group, 2021.

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Reddy, Sandeep. Artificial Intelligence: Applications in Healthcare Delivery. Productivity Press, 2020.

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Reddy, Sandeep. Artificial Intelligence. Taylor & Francis Group, 2020.

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Artificial Intelligence: Applications in Healthcare Delivery. Productivity Press, 2020.

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Hodes, Steven E. Meta-Physician on Call for Better Health. Praeger, 2007. http://dx.doi.org/10.5040/9798400684982.

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Steven E. Hodes, M.D., initially trained in traditional, high-caliber medical programs that led him through graduation at the Albert Einstein Medical School and to a fellowship at Mount Sinai Hospital. But many years later, he saw something vital missing in his approach to healthcare. I was trained as a physician, not a healer…taught to view the patient as a machine suffering from some mechanical failure. My purpose was to be the best diagnostician possible, he explains. Then events occurred that opened the eyes of this now veteran physician to deep insights about the mind-body-spirit connecti
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Book chapters on the topic "Machame Hospital"

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Willis, Julie, Philip Goad, and Cameron Logan. "Everyone’s own “healing machine”." In Architecture and the Modern Hospital. Routledge, 2018. http://dx.doi.org/10.4324/9780429434495-2.

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Gartner, Daniel. "Machine Learning for Early DRG Classification." In Optimizing Hospital-wide Patient Scheduling. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-04066-0_2.

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Cheerla, Sree Vardhan, Syed Inthiyaz, V. Subba Reddy, K. SaiSaketh, N. Kiran Bhavya, and M. Vinay Kumar. "Application of IoT in Hospital Management." In Cybernetics, Cognition and Machine Learning Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1484-3_7.

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Sharma, Sehaj, Prajit Kumar Datta, and Gaurav Bansal. "Machine Learning Based Hospital-Acquired Infection Control System." In Machine Learning and IoT. CRC Press, 2018. http://dx.doi.org/10.1201/9781351029940-12.

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Aljebreen, Abdulaziz, Allan Pang, Marc de Kamps, and Owen Johnson. "Predicting Unplanned Hospital Readmissions Using Outcome-Oriented Predictive Process Mining." In Lecture Notes in Business Information Processing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-82225-4_31.

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Abstract Many hospitals in the world are under pressure to improve their efficiency and effectiveness so that they can achieve better health outcomes with limited resources. One common measure of performance is the rate of unplanned hospital readmissions (UHRs) within 30-days. Emergency readmissions for the same disease can be assumed to indicate inappropriate discharge or poor planning, are costly, increase patients’ mortality risks and put additional pressure on bed capacity. Data Mining (DM) techniques have been used to predict UHRs based on clinical and demographic features, but these igno
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Amritha Ashok, K., Anitta Savy, V. Shijoh, Rabindra Nath Shaw, and Ankush Ghosh. "Hospital Assistance Robots Control Strategy and Machine Learning Technology." In Machine Learning for Robotics Applications. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0598-7_3.

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Suri, Abhinav. "Project #1 Machine Learning for Predicting Hospital Admission." In Practical AI for Healthcare Professionals. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7780-5_5.

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Sravanthi, D., C. V. P. R. Prasad, Ankita Sharma, S. Venkateswarlu, J. Sasi Bhanu, and Golla Saidulu. "Machine Learning Models for Predicting Hospital Readmission Rates." In Advances in Computer Science Research. Atlantis Press International BV, 2025. https://doi.org/10.2991/978-94-6463-718-2_108.

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Arya, Rishab, Vyom Dutt Sharma, Gopal Gupta, and Adwitiya Sinha. "AI-Driven Hospital Readmission Predictor for Diabetic Patients." In The Springer Series in Applied Machine Learning. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-41925-6_13.

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Li, Zhen, and Fang Liu. "Research on the Characteristics and Expression of Modern Hospital Design." In Man-Machine-Environment System Engineering. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2323-1_68.

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Conference papers on the topic "Machame Hospital"

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Ito, Mari, Kanade Takeuchi, Masaaki Suzuki, et al. "Predicting Length of Hospital Stay Using Machine Learning." In 2024 16th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2024. http://dx.doi.org/10.1109/iiai-aai63651.2024.00141.

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Pandiaraj, A., S. Lakshmanaprakash, V. Angayarkanni, N. Ramshankar, R. Kamalakannan, and Vinnie Sharma. "Prioritizing Hospital Admission According to Emergency Using Machine Learning." In 2024 International Conference on Smart Technologies for Sustainable Development Goals (ICSTSDG). IEEE, 2024. https://doi.org/10.1109/icstsdg61998.2024.11026119.

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Rapšík, Jakub, and Michal Kvet. "Improving Cybersecurity in Hospital Information Systems Through Anonymization Techniques." In 2025 IEEE 23rd World Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2025. https://doi.org/10.1109/sami63904.2025.10883123.

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Mo, Wenjie. "Design of an Efficient Hospital Management Database System for Enhanced Data Management." In International Conference on Data Analysis and Machine Learning. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013516300004619.

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Prakash, P. Gandhi, Amarana Varshini, Parupalli Ganesh Krishna, Akkala Naga Manikanta Deepak, and Shaik Siraaz Basha. "Evaluating Disease Prognosis in Hospital Readmission Using Machine Learning Techniques." In 2024 4th International Conference on Sustainable Expert Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63445.2024.10763319.

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Parizad, Seyed Hossein, Sattar Seifollahi, Sona Taheri, and Mali Abdollahian. "A Generative Frailty Index based Explainable Approach for Hospital Readmission Prediction." In 2024 11th International Conference on Soft Computing & Machine Intelligence (ISCMI). IEEE, 2024. https://doi.org/10.1109/iscmi63661.2024.10851557.

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Valegaleti, Sesha Bhargavi, G. Sankeerthi, and M. Tejaswi. "CureQ, a medical chatbot to connect to Medical Practioners/Hospitals." In 2024 Intelligent Systems and Machine Learning Conference (ISML). IEEE, 2024. https://doi.org/10.1109/isml60050.2024.11007340.

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Bisht, Shilpi, Neeraj Bisht, Bishwajeet Pandey, Vedant Patil, Sonalika Srivastava, and Anshul Srivastava. "Optimizing HCV Diagnosis and Hospital Resource Management Using Machine Learning Techniques." In 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON). IEEE, 2024. https://doi.org/10.1109/delcon64804.2024.10866596.

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Toffaha, Khaled, Mecit Can Emre Simsekler, and Mohammed Omar. "Review of Hospital Outpatient No-Show Explainable Prediction Using Machine Learning." In 2024 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD). IEEE, 2024. https://doi.org/10.1109/ictmod63116.2024.10878195.

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Fonteyn, Karel, Tom Dhaene, and Dirk Deschrijver. "Improving Features for Multiple Sclerosis Disability Progression Prediction Through Temporal Alignment of Hospital Visits." In 2024 International Conference on Machine Learning and Applications (ICMLA). IEEE, 2024. https://doi.org/10.1109/icmla61862.2024.00171.

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Reports on the topic "Machame Hospital"

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Ehiabhi, Jolly, and Haifeng Wang. A Systematic Review of Machine Learning Models in Mental Health Analysis Based on Multi-Channel Multi-Modal Biometric Signals. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.2.0003.

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Abstract:
Review question / Objective: A systematic review of Mental health diagnosis/prognoses of mental disorders using Machine Learning techniques with information from biometric signals. A review of the trend and status of these ML techniques in mental health diagnosis and an investigation of how these signals are used to help increase the efficiency of mental health disease diagnosis. Using Machine learning techniques to classify mental health diseases as against using only expert knowledge for diagnosis. Feature Extraction from signal gotten from biometric signals that help classify sleep disorder
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