Title: Advancing Healthcare through Decision Intelligence: Machine Learning, Robotics, and Analytics in Biomedical Informatics
Publisher: Academic Press
Publication Date: 2025
Language: English
ISBN 10: 0443264805
ISBN 13: 9780443264801
Binding: Soft cover
Condition: New

About this title

Synopsis

Advancing Healthcare through Decision Intelligence: Machine Learning, Robotics, and Analytics in Biomedical Informatics demonstrates real-world applications of decision intelligence - specifically machine learning, robotics, and analytics - to drive innovation and improvements in healthcare delivery and outcomes. The book provides a comprehensive overview of the latest developments in decision intelligence technologies, and offers a practical resource that can help navigate through the complex landscape of healthcare decision-making. In 5 themes Advancing Healthcare through Decision Intelligence: Machine Learning, Robotics, and Analytics in Biomedical Informatics focuses on the use of data analytics aad management techniques in healthcare to improve decision-making and healthcare outcomes, on the use of robotics, robots and genomics to improve biomedical informatics, on the use of genomics, clinical decision support systems (CDSS), machine learning, and deep learning to improve precision medicine and personalized treatment and on the ethical implications of using artificial intelligence (AI) in healthcare, ensuring trust in the technology, and making sure that it can be explained and understood by all stakeholders. This book is a valuable resource for health professionals, scientists and researchers, health practitioners, students, and all those who wish to broaden their knowledge in the allied field.

Provide up-to-date knowledge on decision intelligence technologies, such as machine learning, robotics, and data analytics their applications in the field of healthcare
Presents a range of case studies, practical examples, and theoretical concepts that illustrate how decision intelligence can be applied in areas such as diagnosis, treatment planning, and resource allocation
Empowers readers to make informed decisions that can improve the quality of care and outcomes for patients, while also enhancing the efficiency and effectiveness of healthcare systems

About the Authors

Dr. Somen Dey obtained his (PhD) degree in the area of Operations Management and Manufacturing Strategy from the Department of Industrial and Management Engineering, Indian Institute of Technology Kanpur, India. His primary research interests include operations management, supply chain management, organization, and manufacturing strategy, strategic information systems (IS), production planning and control, operations research and optimization techniques. He also has secondary research interests in data mining, machine learning algorithms, knowledge discovery database (KDD) applications in manufacturing and production planning and control. He was the recipient of the Best Track Paper Award in Operations Management in 7th Annual Conference on Industrial Engineering and Operations Management, IEOM, April (11th–13th) 2017, Rabat Morocco.

Vidyapati Kumar is a Ph.D. Research Scholar in the Department of Mechanical Engineering at the Indian Institute of Technology Kharagpur, specializing in AI-driven Rehabilitation Robotics, Biomechatronics, and Assistive Prosthetic Systems. His research focuses on intelligent prosthetic control, wearable biomedical devices, and advanced sensor fusion techniques, including electromyography (EMG), inertial measurement units (IMU), and force-sensitive resistors (FSR), aimed at enhancing mobility and improving quality of life for individuals with physical impairments.

He holds a Master’s degree in Production Engineering from Jadavpur University and a Bachelor’s degree in Mechanical Engineering from the West Bengal University of Technology (WBUT). Prior to his doctoral studies, he served as a GATE Faculty member for Unacademy and worked as a Project Assistant at the Central Institute of Mining and Fuel Research.

Vidyapati Kumar has published multiple papers in high-impact SCI and Scopus-indexed journals. His research interests include prosthetic design, medical artificial intelligence, explainability methods in AI/ML such as SHAP and LIME, optimization, and multi-criteria decision-making. He actively pursues interdisciplinary collaborations in biomedical robotics, wearable assistive devices, and advanced healthcare technologies.

Dr. Dilip Kumar Pratihar is a Professor (HAG Scale) in the Mechanical Engineering Department at IIT Kharagpur, India and former Professor-in-charge of the Centre for Excellence in Robotics. He received his BE (Hons.), M.Tech. in Mechanical Engineering, and Ph.D. from various Indian institutions, as well as post-doctoral study at universities in Japan and Germany. He has received multiple awards, including the University Gold Medal, INSA Teachers' Award, Technologist of the Year Award, and Distinguished Alumnus Award. He has made significant contributions to Artificial Intelligence (AI) and its applications in fields such as Industrial Automation, Robotics, Health Care, and Education Technology. He has published several books and hundreds of publications in reputed journals, conferences, and book chapters. He is a regular reviewer for several international journals and a member of the editorial board of several international journals. He has filed patents and received 1 copyright. He is a Fellow of Institution of Engineers, a Senior Member of IEEE, a Member of ASME, and a Member of AMM.

Dr. Vibhav Prakash Singh is currently working as Assistant Professor in the Department of Computer Science and Engineering at MNNIT Allahabad. He has earned his Ph.D. in Computer Science and Engineering from IIT (BHU), Varanasi (India) in 2018, M. Tech. (CSE) from IIIT Gwalior (India) in 2011 and B. Tech (IT) from UPTU, Lucknow (India). He has approx. 10 years of experiences in various academic /research organizations. He is an active reviewer and board member of various International Journals and Conferences. He has contributed more than 60 research papers in International Journals, and Conferences. His working research areas are Medical Image Analysis, Image Processing, Computer Vision, and Data Mining

Dr. Sardar M N Islam is Director, Sustainable Growth Program, Centre for Strategic Economic Studies, Victoria University, Australia. He is also associated with the Financial Modelling Program and the Law and Economics Program there. He has published more than 10 books and research monographs and many technical papers in Finance, Economics, Corporate Governance, and E-Commerce.

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