Handbook of Deep Learning Models for Healthcare Data Processing

In recent years, deep learning has shown great potential in transforming various fields including healthcare. With the abundance of healthcare data being generated every day, there is a pressing need to develop efficient algorithms that can process and analyze this data to improve patient care and treatment outcomes.Handbook of Deep Learning Models for Healthcare Data Processing: Disease Prediction, Analysis, and Applications covers a wide range of deep learning models, techniques, and applications in healthcare data processing, analysis, and disease prediction, providing a comprehensive overview of the field. It focuses on the practical application of deep learning models in healthcare and offers step-by-step instructions for building and deploying models and using real-world examples. The handbook discusses the potential future applications of deep learning models in healthcare, such as precision medicine, personalized treatment, and clinical decision support. It also addresses the ethical considerations associated with the use of deep learning models in healthcare, such as privacy, security, and bias. It provides technical details on deep learning models, including their architecture, training methods, and optimization techniques, making it useful for data scientists and researchers.Written to be a comprehensive guide for healthcare professionals, researchers, and data analysts, this handbook is an essential need for those who are interested in using deep learning models to analyze and process healthcare data. It is also suitable for those who have a basic understanding of machine learning and want to learn more about the latest advancements in deep learning in healthcare.

Prof. (Dr.) Ajay Kumar is currently serving as Professor (Research Track), Department of Mechanical Engineering, School of Core Engineering, Faculty of Science, Technology & Architecture, Manipal University Jaipur, Rajasthan, India. He received his Ph.D. in advanced manufacturing and automation from Guru Jambheshwar University of Science & Technology, Hisar, India after earning a B.Tech. with honors in mechanical engineering and an M.Tech. with distinction in manufacturing and automation. His areas of research include biomedical engineering, incremental sheet forming, artificial intelligence, sustainable materials, robotics and automation, additive manufacturing, mechatronics, smart manufacturing, industry 4.0, industrial engineering systems, waste management, and optimization techniques. He has over 100 publications in international journals of repute including SCOPUS and Web of Science as well as SCI-indexed database and refereed international conferences. He has organized various national and international events including an international conference on mechatronics and artificial intelligence (ICMAI-2021) as conference chair. He had organized an international conference on artificial intelligence, advanced materials, and mechatronics systems (AIAMMS-2023) as conference chair. He has more than 20 national and international patents to his credit. He has supervised more than eight M.Tech and Ph.D. scholars and numerous undergraduate projects/theses; he has a total of 15 years of experience in teaching and research. He has been a guest editor of many reputed journals and has contributed to many international conferences/symposiums as a session chair, expert speaker, and member of the editorial board. He has won several proficiency awards during the course of his career, including merit awards, best teacher awards, and so on. He has also coauthored or coedited more than 15 books and proceedings. Dr. Deepak Dembla has been the Dean and Head of Department of the School of Computer Applications at JECRC University in Jaipur for the last nine years; he is also the director of internships and of accreditation. He earned his in M.Tech. in IT from Punjabi University Patiala in 2004 and his MCA and Ph.D. from Guru Jambheshwar University. He earned his postgraduate degree in business management in 1996, has total experience of 22 years, and specializes in mobile ad hoc networks, wireless networks, software engineering, cloud computing, AI, & machine learning. He has published 61 research papers in international and national journals and including prestigious international SCI-listed journals and at conferences such as IEEE (Institute of Electrical and Electronics Engineers) and ACM (Association for Computing Machinery). He is on the editorial board of various international journals, has guided a dozen M.Tech. students, and is actively guiding 10 research scholars for their Ph.D. programs. He is associated with various professional international societies (