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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Analytical Modeling
Decision Making
Fuzzy Logic
Metaheuristic Approaches
Neural Networks
Occupational Health
Optimization
Risk Assessment
Simulation and Modeling
Soft Computing Methods

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Editor/Author Biographies

Muhammet Gul is PhD and has been working as an Associate Professor at the Department of Industrial Engineering, Munzur University, Tunceli, Turkey. He received his MSc in Industrial Engineering from Yildiz Technical University. His research interests are in simulation modeling, healthcare system management, occupational safety and risk assessment, multi-criteria decision-making and fuzzy sets. His papers appeared in International high-cited journals such as Computers & Industrial Engineering, Knowledge-Based Systems, Applied Soft Computing, Journal of Safety Research, Journal of Cleaner Production and Journal of the Operational Research Society. 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). He will also conduct a new thematic issue in 2021 for a Bentham Science journal Current Chinese Computer Science (CCCS) called as Operations Research/ Management Science in Healthcare: New Methodologies and Applications.

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).

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