Computational Intelligence and Soft Computing Applications in Healthcare Management Science
Language: English
Published by Medical Information Science Reference, 2020
- Hardcover
- New

Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 407.33
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - In today's modernized world, the field of healthcare has seen significant practical innovations with the implementation of computational intelligence approaches and soft computing methods. These two concepts present various solutions to complex scientific problems and imperfect data issues. This has made both very popular in the medical profession. There are still various areas to be studied and improved by these two schemes as healthcare practices continue to develop. Computational Intelligence and Soft Computing Applications in Healthcare Management Science is an essential reference source that discusses the implementation of soft computing techniques and computational methods in the various components of healthcare, telemedicine, and public health. Featuring research on topics such as analytical modeling, neural networks, and fuzzy logic, this book is ideally designed for software engineers, information scientists, medical professionals, researchers, developers, educators, academicians, and students. …
Seller Inventory # 9781799825814
- Title
- Computational Intelligence and Soft Computing Applications in Healthcare Management Science
- Author
- Muhammet Gul
- Publisher
- Medical Information Science Reference
- Publication year
- 2020
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1799825817
- ISBN 13
- 9781799825814
- Item weight
- 850 grams
- Dimensions
- 260x183x23 mm
"Synopsis" may belong to another edition of this title.
About the Author
Erkan Celik received BSc and MSc degree in Industrial Engineering from Selcuk University, Konya, Turkey in 2008 and 2011, respectively. He also received PhD in Industrial Engineering from Yildiz Technical University, İstanbul, Turkey in 2015. He is now Associate Professor in Industrial Engineering from Munzur University, Tunceli, Turkey. He has published many papers in highly cited journals as Transportation Research Part E, Transportation Research Part A, Computers & Industrial Engineering, International Journal of Production Research, European Journal of Industrial Engineering and etc. His research interests are in decision analysis, humanitarian logistic, fuzzy sets. Now, he is the editor in chief of two book projects that will be released in 2020: Computational Intelligence and Soft Computing Applications in Healthcare Management Science (IGI-Global) and Fine–Kinney-based multi-criteria risk assessment: Approaches, Case studies and Python applications (Springer).
Suleyman Mete , Ph.D., is an Assistant Professor employed at Industrial Engineering Department, Faculty of Engineering, Gaziantep University in Turkey. He received his Ph.D. from Gaziantep University Industrial Engineering in 2017. His research interests include optimization, assembly line balancing, disassembly line balancing, mathematical modelling, heuristics and supply chain network design. Now, he is the editor in chief of two book projects that will be released in 2020: Computational Intelligence and Soft Computing Applications in Healthcare Management Science (IGI-Global) and Fine–Kinney-based multi-criteria risk assessment: Approaches, Case studies and Python applications (Springer).
Faruk Serin , Ph.D., is an Assistant Professor employed at Computer Engineering Department, Faculty of Engineering, Munzur University in Turkey. He received his Ph.D. from Inonu University Computer Engineering in 2017. His research interests include optimization, graph theory, medical image processing, software development and intelligent transportation. Now, he is the editor in chief of two book projects that will be released in 2020: Computational Intelligence and Soft Computing Applications in Healthcare Management Science (IGI-Global) and Fine–Kinney-based multi-criteria risk assessment: Approaches, Case studies and Python applications (Springer).
"About the title" may belong to another edition of this title.
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