Mr. M.Thilakraj, Dr. Rajiv Kumar Nath, Dr. D. Banumathy, Dr. Sridhar
Indexed In: Google scholar
Release Date: 2025 | Copyright:©2025 | Pages: 474
DOI: 10.71443/9789349552036
ISBN10: 9349552035 | ISBN13: 9789349552036
Machine Learning and Deep Learning in Smart Healthcare Systems and Implantable Devices presents an in-depth exploration of intelligent technologies transforming modern healthcare. The book explains how ML and DL algorithms enhance disease prediction, diagnosis, real-time monitoring, and personalized treatment. Special emphasis is placed on implantable medical devices, including smart sensors, pacemakers, neurostimulators, and drug delivery systems, highlighting adaptive and data-driven decision-making capabilities. It also addresses challenges related to data security, explainability, regulatory compliance, and ethical considerations. This book serves as a valuable reference for researchers, healthcare professionals, and engineers working on intelligent, patient-centric healthcare solutions.
The book covers fundamentals of machine learning and deep learning for healthcare applications, biomedical signal and medical image analysis, multimodal health data integration, and AI-driven clinical decision support systems. It includes intelligent implantable devices, real-time physiological monitoring, adaptive therapy systems, edge and cloud-based healthcare intelligence, explainable and trustworthy AI, cybersecurity and privacy of medical data, regulatory standards, and ethical challenges. Emerging trends such as AI-enabled biosensors, predictive analytics, remote patient monitoring, and personalized medicine are discussed through practical frameworks and case studies, providing a comprehensive understanding of smart and intelligent healthcare ecosystems.
Mr.M.Thilakraj is an Assistant Professor in the Department of Information Technology at K S Rangasamy College of Technology in 2011. He holds a UG B.E Computer Science and Engineering from Sengunthar Engineering College in 2008 and M.E. in Computer Science and Engineering from K S R College of Engineering in 2011 His expertise includes Mobile Ad Hoc Networks, Data Mining, Artificial Intelligence, and Cloud Computing.
Dr. Rajiv Kumar Nath received B.E degree in Computer Science & Engineering from Madan Mohan Malviya Engineering College, Gorakhpur in 1999. M. Tech Degree in Intelligent System (Information Technology) from Indian Institute of Information Technology, Allahabad in 2004. He Ph.D. degree in 2025 from the Faculty of Engineering, Jamia Millia Islamia, New Delhi and his area of research interests are Image Processing, Machine Learning, recommender system and Deep Learning. He is having more than 19 years of teaching experience and he is currently working as an Assistant Professor in the Department of Computer Sciences & Engineering, Sharda School of Computing Science & Engineering, Sharda University, Greater Noida, G B Nagar, Uttar Pradesh, India.
Dr.D.Banumathy as a Professor & Head of Computer Science and Engineering Department, Paavai Engineering College. She has obtained her master degree M.E., in Computer Science and Engineering from Anna University Coimbatore. She has completed her doctoral programme Ph.D in the area of Data Warehouse and Data Mining from the prestigious Anna University Chennai. She took up academic pursuit and has more than 16 years of Academic, Research and Administrative experience.
Dr.D.Banumathy has obtained six pattern rights for her Technological Innovations she also has 25 publications on an assortment of topics in reputed national and International Conferences and Journals. She is a member of IFERP and life member of CSI & ISTE. She has delivered expert Lectures in Conference, Workshops and Seminars sharing her expertise on various areas with the academic fraternity.
Dr. Sridhar is a dynamic academician with a strong foundation in Computer Applications. He is currently serving as Professor & Director – Academics, School of Advanced Studies, at S-VYASA (Deemed to be University), City Campus, Bengaluru. He is deeply passionate about research and is committed to continuous learning and skill enhancement. His current research interests include Data Communication, Artificial Intelligence, Data Science, Energy Efficiency, and Optimization. With over 24 years of experience spanning academics, administration, and research, Dr. Sridhar has made significant contributions to his field. His research work has been widely published in SCIE, Scopus, and Google Scholar–indexed international journals, and he has actively presented several papers at reputed international conferences. He is also associated with numerous prestigious journals in various capacities, including Editor, Guest Editor, and Reviewer.
