This book provides insights into contemporary issues and challenges
in soft computing applications and techniques in healthcare. It
will be a useful guide to identify, categorise and assess the role
of different soft computing techniques for disease, diagnosis and
prediction due to technological advancements. The book explores
applications in soft computing and covers empirical properties of
artificial neural network (ANN), evolutionary computing, fuzzy
logic and statistical techniques. It presents basic and advanced
concepts to help beginners and industry professionals get up to
speed on the latest developments in soft computing and healthcare
systems. It incorporates the latest methodologies and challenges
facing soft computing, examines descriptive, predictive and social
network techniques and discusses analytics tools and their role in
providing effective solutions for science and technology. The
primary users for the book include researchers, academicians,
postgraduate students, specialists and practitioners. Dr. Ashish
Mishra is a professor in the Department of Computer Science and
Engineering, Gyan Ganga Institute of Technology and Sciences,
Jabalpur, Madhya Pradesh, India. He has contributed in organising
the INSPIRE Science Internship Camp. He is a member of the
Institute of Electrical and Electronics Engineers and is a life
member of the Computer Society of India. His research interests
include the Internet of Things, data mining, cloud computing, image
processing and knowledge-based systems. He holds nine patents in
Intellectual Property, India. He has authored four books in the
areas of data mining, image processing and LaTex. Dr. G. Suseendran
is an assistant professor, Department of Information Technology,
School of Computing Sciences, Vels Institute of Science, Technology
& Advanced Studies (VISTAS), Chennai, Tamil Nadu, India. His
research interests include ad-hoc networks, the Internet of Things,
data mining, cloud computing, image processing, knowledge-based
systems, and Web information exploration. He has published more
than 75 research papers in various international journals such as
Science Citation Index, Springer Book Chapter, Scopus, IEEE Access
and UGC-referred journals. Prof. Trung-Nghia Phung is an associate
professor and Head of Academic Affairs, Thai Nguyen University of
Information and Communication Technology (ICTU). He has published
more than 60 research papers. His main research interest lies in
the field of speech, audio, and biomedical signal processing. He
serves as a technical committee program member, track chair,
session chair, and reviewer of many international conferences and
journals. He was a co-Chair of the International Conference on
Advances in Information and Communication Technology 2016 (ICTA
2016) and a Session Chair of the 4th International Conference on
Information System Design and Intelligent Applications (INDIA
2017).
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