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[ subject:"Medical informatics." ]
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Computational intelligence and soft ...
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Gul, Muhammet, (1985-)
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Computational intelligence and soft computing applications in healthcare management science
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Computational intelligence and soft computing applications in healthcare management science/ edited by Muhammet Gul, Erkan Celik, Suleyman Mete, Faruk Serin.
其他作者:
Gul, Muhammet,
出版者:
Hershey, Pennsylvania :IGI Global, : 2020.,
面頁冊數:
19 PDFs (322 pages)
內容註:
Chapter 1. NARX neural networks model for forecasting daily patient arrivals in the emergency department -- Chapter 2. Modeling and forecasting the daily number of emergency department visits using hybrid models -- Chapter 3. A fuzzy decision-making model for the key performance indicators of hospital service quality evaluation -- Chapter 4. A maximal covering location model for the organ transplant organization in Turkey -- Chapter 5. Computational intelligence approach for classification of Diabetes Mellitus using decision tree -- Chapter 6. Machine learning applications for classification emergency and non-emergency patients -- Chapter 7. Fuzzy logic in health services: integrated fuzzy method for multi-criteria inventory classification -- Chapter 8. Interval type II fuzzy number generation from data set applied to sedation stage classification -- Chapter 9. Detection of chronic disease in primary care using artificial intelligence techniques -- Chapter 10. Deep learning in the healthcare industry: theory and applications -- Chapter 11. Smart cataract detector: an image processing-based mobile application for cataract detection -- Chapter 12. A Survey and analysis to find dental implant issues in India: dental problems in India.
標題:
Medical informatics. -
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2581-4
ISBN:
9781799825821 (ebk.)
Computational intelligence and soft computing applications in healthcare management science
Computational intelligence and soft computing applications in healthcare management science
[electronic resource] /edited by Muhammet Gul, Erkan Celik, Suleyman Mete, Faruk Serin. - Hershey, Pennsylvania :IGI Global,2020. - 19 PDFs (322 pages) - Advances in healthcare information systems and administration (AHISA) book series. - Advances in healthcare information systems and administration (AHISA) book series..
Includes bibliographical references and index.
Chapter 1. NARX neural networks model for forecasting daily patient arrivals in the emergency department -- Chapter 2. Modeling and forecasting the daily number of emergency department visits using hybrid models -- Chapter 3. A fuzzy decision-making model for the key performance indicators of hospital service quality evaluation -- Chapter 4. A maximal covering location model for the organ transplant organization in Turkey -- Chapter 5. Computational intelligence approach for classification of Diabetes Mellitus using decision tree -- Chapter 6. Machine learning applications for classification emergency and non-emergency patients -- Chapter 7. Fuzzy logic in health services: integrated fuzzy method for multi-criteria inventory classification -- Chapter 8. Interval type II fuzzy number generation from data set applied to sedation stage classification -- Chapter 9. Detection of chronic disease in primary care using artificial intelligence techniques -- Chapter 10. Deep learning in the healthcare industry: theory and applications -- Chapter 11. Smart cataract detector: an image processing-based mobile application for cataract detection -- Chapter 12. A Survey and analysis to find dental implant issues in India: dental problems in India.
"This book explores the use of computational intelligence and soft computing in health services"--
ISBN: 9781799825821 (ebk.)Subjects--Topical Terms:
661258
Medical informatics.
LC Class. No.: R855.3 / .C66 2020
Dewey Class. No.: 610.285
Computational intelligence and soft computing applications in healthcare management science
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Chapter 1. NARX neural networks model for forecasting daily patient arrivals in the emergency department -- Chapter 2. Modeling and forecasting the daily number of emergency department visits using hybrid models -- Chapter 3. A fuzzy decision-making model for the key performance indicators of hospital service quality evaluation -- Chapter 4. A maximal covering location model for the organ transplant organization in Turkey -- Chapter 5. Computational intelligence approach for classification of Diabetes Mellitus using decision tree -- Chapter 6. Machine learning applications for classification emergency and non-emergency patients -- Chapter 7. Fuzzy logic in health services: integrated fuzzy method for multi-criteria inventory classification -- Chapter 8. Interval type II fuzzy number generation from data set applied to sedation stage classification -- Chapter 9. Detection of chronic disease in primary care using artificial intelligence techniques -- Chapter 10. Deep learning in the healthcare industry: theory and applications -- Chapter 11. Smart cataract detector: an image processing-based mobile application for cataract detection -- Chapter 12. A Survey and analysis to find dental implant issues in India: dental problems in India.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2581-4
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