1st Edition

Transforming Healthcare Mode, Technologies, and Implementation

282 Pages 78 B/W Illustrations
by CRC Press

282 Pages 78 B/W Illustrations
by CRC Press

This comprehensive volume explores cutting-edge technologies, groundbreaking methodologies, and insightful ethical considerations. It brings together leading minds and research across diverse domains, offering readers a glimpse into the future of healthcare. From leveraging AI in diagnostics and personalized treatments to advancing telemedicine and remote patient monitoring, the text addresses... Read more

1.       Innovating Health

Gaurav Paliwal, Aaquil Bunglowala, Nidhi Asthana, Divya Gautam 

2.      Next-Gen Health Analytics

Biswajit Jana, Bireshwar Das Mazumdar, Anindya Ghatak, Ram Gopal Gupta

3.      Uncovering methods for early Alzheimer Diagnosis using Machine Learning and Deep Learning

Rohit Kumar, Ankush Jain, Surendra Nagar

4.      Comparative Analysis of Transfer Learning Models versus Ensemble Transfer Learning Models for Multi-Class cutaneious carcinoma Classification

Rashmi Nair, Rohit Agrawal, Sudheesh Sudhakaran

5.      Benefits and Drawbacks of Using AI Technologies in Healthcare Businesses

Marwa Abdellateef, R.V. Palanivel

6.      Analysis and Predicting Sector Data

Tarika Singh Sikarwar, Harshita Mathur, Abhay Singh Chauhan, Sher Singh Bhakar, Prashiksha Tiwari, Vitan Sharma

7.    An industrial applications-based generalized model on the effect of trade credits on healthcare items under multivariate demand-based production with time-dependent deterioration and partial backlogging

Sanjay Sharma, Anand Tyagi, Vidhi Agrawal, Sachin Kumar

8.      AI and ML based system for Early Detection of Malignant Cells of Brain through Image Processing paving way for Personalized Treatment Strategies

Ruchira Goel, Rahul Sharma, Khushi Bansal, Ashutosh Sirohi

9.      Advancing Healthcare AI with Federated Learning

Lokpriya Gaikwad, Vinod Surange, Sandip Kanase, Agung Sutrisno

10.  A Systematic Review of Applications, Challenges, Data Collection, and Academic Research in Healthcare Using IoT

Divya Srivastava, Vansh Budhiraja, Ashutosh Srivastava, Madhushi Verma

11.  Revolutionizing Healthcare

Silky Sharma, Nagaraj Subbarao, Shankar Kumar Jha, Steve McKenna

12.  Speech Emotion Recognition in Mental Health

Meghali Das, Garima Srivastava

 

Biography

Ankush Jain is an Assistant Professor in the Department of Computer Science and Engineering at Netaji Subhas University of Technology, Dwarka, New Delhi. He completed his M.Tech. and PhD from ABV-Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior. Earlier, he worked as an Assistant Professor at Indira Gandhi Delhi Technical University for Women (IGDTUW), Delhi. Dr. Jain has published research articles, patents, and books in internationally acclaimed venues. He serves as a reviewer in various international journals, e.g., IEEE Transactions on Evolutionary Computation, IEEE Transactions on System, Man, and Cybernetics, IEEE Transactions on Computational Social Systems, IEEE Sensors Journal, Information Processing and Management, Expert Systems with Applications, Soft Computing, and JMLC. His research interests include Recommendation Systems, Evolutionary Computation, Computer Vision, Pattern Recognition, and Machine Learning. He is a Life Member of the ISTE and International Society of Engineers and a professional member of the IEEE and ACM.

Vishal Srivastava is an Assistant Professor in the Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology (MNNIT) Allahabad, Prayagraj, India. His main research interests are graphs, complex social networks, image-based computations in AI, pattern recognition, and evolutionary computing. He has published research articles, patents, and books in internationally acclaimed venues.

Gaurav Singal received his M.Tech. and PhD from the CSE Department, Malaviya National Institute of Technology, Jaipur, India. He is an Assistant Professor with the CSE Department, at Netaji Subhas University of Technology, New Delhi, India. He has been actively working in research and teaching for the last Twelve years and published several reputed Conferences and Journals. His research interests include wireless Internet of Things, edge computing, Artificial intelligence, Deep learning, and software-defined networks. Dr Singal received a total research grant of approximately 55L from various agencies such as SERB, CST, and DBT on women's security, IoT Security, and Assistive devices.

Mohamed Mosbah is a Professor of Computer Science at the Polytechnic Institute of Bordeaux (Bordeaux INP), France, where he currently serves as Vice-President. Previously, he held the position of Director of Industrial Partnerships and Innovation in Computer Science and Engineering. Prof. Mosbah conducts his research at LaBRI (Laboratoire Bordelais de Recherche en Informatique), a joint research center affiliated with the University of Bordeaux and CNRS, where he also served as Deputy Director. His research interests span distributed computing, security, sensor networks and their applications, and Intelligent Transportation Systems (ITS). In addition to his academic work, Prof. Mosbah is an active member of the scientific community, contributing to numerous technical program committees and organizing international conferences. He is also heavily involved in regional, national, and European research initiatives and projects. Currently, he leads an industrial chair dedicated to new mobilities and Intelligent Transportation Systems, in collaboration with the Bordeaux campus and a consortium of 10 partner companies. Prof. Mosbah's outstanding contributions have earned him recognition as a distinguished French scientific and academic figure, with his recent inclusion in the Who’s Who in France 2025.