Medical Analytics for Clinical and Healthcare Applications

Edited by:   Kanak Kalita (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology India), Divya Zindani (Sri Sivasubramaniya Nadar College of Engineering, India), Narayanan Ganesh (Vellore Institute of Technology Chennai Campus, India), Xiao-Zhi Gao (University of Eastern Finland)
Imprint:   Wiley-Scrivener
Country of Publication:   United States
ISBN:   9781394301454
ISBN 10:   1394301456
Series:   Machine Learning in Biomedical Science and Healthcare Informatics
Pages:   352
Publication Date:   05 September 2025
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

Kanak Kalita, PhD is an accomplished professor and researcher in the field of computational engineering with over eight years of experience. He has published over 180 articles in international journals and edited five books. His research interests include machine learning, fuzzy decision making, metamodeling, process optimization, finite element methods, and composites. Divya Zindani, PhD is an assistant professor in Department of Mechanical Engineering at the Sri Sivasubramaniya Nadar College of Engineering. He has published 15 patents, 15 books, over 20 chapters, and more than 60 journal publications. His research interests include sustainable materials, optimization, decision support systems, and supply chain management. Narayanan Ganesh, PhD is a senior associate professor in the School of Computer Science and Engineering at the Vellore Institute of Technology with over two decades of experience. He has over 35 publications to his credit, including internationally published journal articles and book chapters. His research interests include software engineering, agile software development, prediction and optimization techniques, deep learning, image processing, and data analytics. Xiao-Zhi Gao, PhD is a professor at the University of Eastern Finland. He has published over 400 technical papers in international journals and conferences. His research focuses on nature-inspired computing methods with applications in optimization, data mining, machine learning, control, signal processing, and industrial electronics.