Free standard shipping on all orders
  • Visa
  • Master Card
  • American Express
  • Apple Pay
  • Google Pay
  • JCB

Advances in Healthcare using Machine Learning: Volume 1 book cover

1st Edition

Advances in Healthcare using Machine Learning Volume 1

Edited By Sriparna Saha, Lidia Ghosh Copyright 2026
264 Pages 26 Color & 26 B/W Illustrations
by CRC Press

264 Pages 26 Color & 26 B/W Illustrations
by CRC Press
Also available as eBook on:
The rapid technological advancements in the healthcare industry over recent decades have been transformative. These innovations have not only enhanced our understanding of the morphology and physiology of various organs but have also significantly improved the early diagnosis and treatment of numerous diseases across different medical specialties. This progress has been largely driven by... Read more

Preface

 

1. Emerging Technologies in Healthcare: The Role of Machine Learning

 

2. Advances in AI and Data Science for Healthcare

 

3. Multimodal Computing in Healthcare: Enhancing Clinical Decision-Making through Data Fusion

 

4. A Comprehensive Analysis and Prediction of Diabetes Diseases Using Deep Learning Techniques

 

5. Type-2 Fuzzy Classification in Disease Staging: Bipolar Disorder and Chronic Kidney Disease in India’s Healthcare Odyssey

 

6. Human Disease Diagnosis and Deformity Detection using Radiographic Image Analysis and Machine Learning

 

7. Medicine-Infused Smart Bandages with Integrated Sensors and Image-based Machine Learning Model for Diabetic Foot Ulcer Detection

 

 

8. Multiply U Net with Sharp Block for Nuclear Segmentation of Microscopic Pathological Imageries

 

9. Information Management using Natural Language Processing: A COVID-19 Case Study

 

10. Innovation for Inclusion: Emerging Technologies for People with Disabilities

 

Index

Biography

Sriparna Saha (M.E. & Ph.D, JU) is currently an Assistant Professor (Stage-II) in the Department of Computer Science and Engineering of Maulana Abul Kalam Azad University of Technology, West Bengal, India. She has more than 12 years of experience in teaching and research. Her research area includes AI, CV, HCI etc. with over 90 publications in international journals and conferences. Her major research proposal is accepted for Start Up Grant under UGC Basic Scientific Research Grant.

Lidia Ghosh (Gold-Medalist, M.Tech., JU) is an Assistant Professor in the Department of Computer Application at the RCC Institute of Information Technology, India. She was a Postdoctoral Fellow at Liverpool Hope University, UK, and has received multiple prestigious fellowships, including the Rashtriya Uchchatara Shiksha Abhiyan Doctoral Fellowship. She has published over 50 research papers and serves as a reviewer for top IEEE journals. Her research focuses on Cognitive Neuroscience, Deep Learning, Type-2 Fuzzy Sets, and Human Memory Formation.

Add to Cart