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.
Table of Contents
1. Biomedical Informatics: Data Analytics for Improved Healthcare Outcomes2. Decision Intelligence in Biomedical Data Analytics and Management
3. Robotics and Robots in Biomedical Informatics
4. Precision Medicine and Personalized Treatment
5. Ethics, Trust, and Explainability in Biomedical Analytics
Authors
Somen Dey Motilal Nehru National Institute of Technology Allahabad, India.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 Research Scholar, Mechanical Engineering Department, Indian Institute of Technology Kharagpur, India. Vidyapati Kumar is a Ph.D. candidate in the Department of Mechanical Engineering at the Indian Institute of Technology, Kharagpur. He completed his Master's in Engineering in Production Engineering in 2018 and Bachelor's in Technology in Mechanical Engineering in 2016. Before starting his Ph.D., he worked for 1.7 years as a project assistant at the CSIR-Central Institute of Mining and Fuel Research. He has published research in SCI/Scopus indexed journals and conference proceedings, and has obtained both an Australian and Indian patent for his innovative research. His research area includes Rehabilitation Robotics, Biomedical devices, and the application of soft computing tools in solving optimization and decision-making problems. Dilip Kumar Pratihar Professor, Mechanical Engineering Department, Indian Institute of Technology Kharagpur, India. 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. Vibhav Prakash SIngh National Institute of Technology, India. 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 Sardar Islam Decision Sciences and Modelling Program, Victoria University, Australia. 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.
