Advancing Healthcare through Decision Intelligence
Machine Learning, Robotics, and Analytics in Biomedical Informatics
- 1st Edition - March 28, 2025
- Imprint: Academic Press
- Editors: Somen Dey, Vidyapati Kumar, Dilip Kumar Pratihar, Vibhav Prakash SIngh, Sardar Islam
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 6 4 8 0 - 1
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 6 4 8 1 - 8
Advancing Healthcare through Decision Intelligence: Machine Learning, Robotics, and Analytics in Biomedical Informatics demonstrates real-world applications of decision intell… Read more
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Request a sales quoteAdvancing 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
Researchers working across the biosciences in the fields of artificial intelligence and bioinformatics
- Title of Book
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Chapter 1. Foundations of decision intelligence in healthcare: Integrating machine learning, robotics, and biomedical analytics
- Abstract
- 1.1 Introduction to the edited volume
- References
- Theme 1: Biomedical informatics: data analytics for improved healthcare outcomes
- Chapter 2. Deep learning techniques for agricultural plant health assessment: a case study on tomato plant
- Abstract
- 2.1 Introduction
- 2.2 Methodology
- 2.3 Results and discussion
- 2.4 Conclusions
- References
- Chapter 3. A systematic analysis of effectiveness of music therapy in children with autism spectrum disorder
- Abstract
- 3.1 Introduction
- 3.2 Methodology
- 3.3 Results
- 3.4 Discussion
- Acknowledgment
- References
- Chapter 4. Bioinformatics, healthcare informatics and analytics: an imperative for improved healthcare system
- Abstract
- 4.1 Introduction
- 4.2 Bioinformatics in healthcare
- 4.3 Conclusion
- References
- Chapter 5. Measuring the impact of predictive analytics on patient satisfaction
- Abstract
- 5.1 Introduction
- 5.2 Literature review
- 5.3 Methodology
- 5.4 Result analysis
- 5.5 Conclusion
- References
- Theme 2: Decision intelligence in biomedical data analytics and management
- Chapter 6. Hybrid optimization of bag composition for disease diagnosis: integrating teaching-learning-based optimization with genetic algorithm
- Abstract
- 6.1 Introduction
- 6.2 Proposed methodology
- 6.3 Experimental setup and results analysis
- 6.4 Conclusion
- References
- Theme 3: Robotics and robots in biomedical informatics
- Chapter 7. Blockchain in healthcare: Unveiling trends and applications through bibliometric and thematic analysis
- Abstract
- 7.1 Introduction
- 7.2 Methodology
- 7.3 Results
- 7.4 Conclusion
- References
- Chapter 8. Enhancing social skills development in children with autism through robotic interventions
- Abstract
- 8.1 Introduction
- 8.2 Traditional therapies and their limitations
- 8.3 Types of robotic interventions
- 8.4 Social engagement in human-robot interaction
- 8.5 Practical considerations of robotic interventions
- 8.6 Considerations and challenges
- 8.7 Conclusion and future directions
- References
- Chapter 9. Intelligent ankle-foot prosthetics: from engineering fundamentals to integrated artificial intelligence systems
- Abstract
- 9.1 Introduction
- 9.2 Engineering fundamentals of ankle-foot prosthetics
- 9.3 Prosthetic foot
- 9.4 Summary
- References
- Theme 4: Precision medicine and personalized treatment
- Chapter 10. Precision medicine and personalized treatment
- Abstract
- 10.1 Introduction
- 10.2 Related work
- 10.3 Foundations of precision medicine
- 10.4 Role of data in precision medicine
- 10.5 Transformative impact on patient outcomes and healthcare economics
- 10.6 Interoperability and standardization
- 10.7 Case studies
- 10.8 Conclusion
- References
- Chapter 11. Voxel-based analysis and advanced techniques for MRI scan classification in early diagnosis of Parkinson’s disease
- Abstract
- 11.1 Introduction
- 11.2 Methodology
- 11.3 Result
- 11.4 Conclusion
- Acknowledgement
- References
- Chapter 12. Predicting metallic implant degradation through patient-specific computational modeling
- Abstract
- 12.1 Introduction
- 12.2 Popular methods for degradation prediction of metallic implants
- 12.3 Conclusion
- References
- Theme 5: Ethics, trust, and explainability in biomedical analytics
- Chapter 13. Ethical concerns in healthcare analytics: exploring the complexities of data-driven decision making
- Abstract
- 13.1 Introduction
- 13.2 Ethical considerations in healthcare analytics
- 13.3 Discrimination in healthcare analytics
- 13.4 Privacy concerns in healthcare analytics
- 13.5 Security in healthcare analytics
- 13.6 Explainability and Interpretability in healthcare analytics
- 13.7 Future directions
- 13.8 Conclusion
- References
- Index
- Edition: 1
- Published: March 28, 2025
- Imprint: Academic Press
- No. of pages: 220
- Language: English
- Paperback ISBN: 9780443264801
- eBook ISBN: 9780443264818
SD
Somen Dey
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.
Affiliations and expertise
Motilal Nehru National Institute of Technology Allahabad, IndiaVK
Vidyapati Kumar
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.
Affiliations and expertise
Research Scholar, Mechanical Engineering Department, Indian Institute of Technology Kharagpur, IndiaDP
Dilip Kumar Pratihar
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.
Affiliations and expertise
Professor, Mechanical Engineering Department, Indian Institute of Technology Kharagpur, IndiaVS
Vibhav Prakash SIngh
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
Affiliations and expertise
National Institute of Technology, IndiaSI
Sardar Islam
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.
Affiliations and expertise
Decision Sciences and Modelling Program, Victoria University, AustraliaRead Advancing Healthcare through Decision Intelligence on ScienceDirect