This book presents soft computing techniques and applications used in healthcare systems, along with the latest advancements. Written as a guide for assessing the roles that these techniques play, the book will also highlight implementation strategies, problem-solving solutions, and pave the way for future research endeavors in smart and next-generation healthcare systems.
Next Generation Healthcare Systems Using Soft Computing Techniques provides applications of soft computing techniques related to healthcare systems and can be used as a reference guide for assessing the roles that various techniques such as machine learning, fuzzy logic, and statical mathematics play in the advancements of smart healthcare systems. The book presents the basics as well as the advanced concepts to help beginners, as well as industry professionals, get up to speed on the latest developments in healthcare systems. The book will examine descriptive, predictive, and social network techniques, as well as provide a discussion on analytical tools and the important role they play in finding solutions to problems within the healthcare system. A framework of robust and novel healthcare techniques are highlighted as well as implementation strategies, and a setup for future research endeavors.
A valuable resource for researchers and postgraduate students in healthcare systems engineering, computer science, information technology, and applied mathematics. The book introduces beginners and at the same time brings industry professionals up to speed with the important role soft computing techniques play in smart healthcare systems.
About the Author: Dr. Rekh Ram Janghel received a PhD in Information Technology in 2013 from ABV-IIITM Gwalior. His main research interest includes Face Recognition and Identification, Digital Image Processing, Signal Processing and Networking. Presently he is working as an Assistant Professor at NIT Raipur, India. His research includes various areas of Computer Science Engineering and Information Technology. Dr. Janghel has applied for and been granted 11 patents and has published 50 research papers in various international and national journals along with proceedings for many international and national conferences.
Dr. Rohit Raja received a Ph.D. in Computer Science and Engineering from CVRAMAN University in 2016. His main research interest includes Face Recognition and Identification, Digital Image Processing, Signal Processing and Networking. Presently he is working as an Associate Professor in the IT department at Guru Ghasidas Vishwavidyalaya, Bilaspur (CG), India. He has authored several journal and conference papers. Dr. Raja has been granted 12 patents and has published 77 research papers published in various international and national journals.
Korhan Cengiz, PhD, SMIEEE was born in Edirne, Turkey, in 1986. He received a BS degree in Electronics and Communication Engineering from Kocaeli University, Turkey and a Business Administration degree from Anadolu University, Turkey in 2008 and 2009. He received an MS degree in Electronics and Communication Engineering from Namik Kemal University, Turkey in 2011, and a PhD degree in Electronics Engineering from Kadir Has University, Turkey in 2016. Since 2018, he has been an Assistant Professor with the Electrical-Electronics Engineering Department, Trakya University, Turkey. He is the author of over 40 journal articles including, 3 book chapters, and was granted 2 international patents. His research interests include Wireless Sensor Networks, Wireless Communications, Statistical Signal Processing, Power Electronics, and 5G Network.
Dr. Hiral Raja is working as Associate Professor in the Mathematics Department at Dr. C V Raman University Bilaspur and received her Ph.D. in Mathematics in 2017 from C. V. Raman University India. Her main research includes Image processing, embedded system, Artificial Intelligence, and Sensor Signaling. She has successfully granted 2 patents. She has published approximately 10 research papers in national, international journals, including Scopus, IEEE, and springer.
