Hardcover. The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory, for reliability engineering. It further presents optimization solutions for smart and secure healthcare services. The text showcases how to predict the failure and repair rates of healthcare subsystems using computational intelligence.This book:Explores how data-driven methodologies and advanced computational intelligence are revolutionizing the healthcare industry, promoting efficiency, accessibility, and sustainabilityHighlights the pivotal role that big data analytics plays in harnessing vast amounts of patient records, clinical information, and real-time medical data to provide timely insights for healthcare professionals and policymakersDiscusses the integration of artificial intelligence and machine learning techniques in healthcare, with a focus on revolutionizing disease detection, treatment planning, and resource allocationLays the foundation for developing sustainable healthcare systems that are adaptable to long-term challenges, such as population growth, emerging diseases, and resource constraintsCovers computational intelligence techniques, like fuzzy logic, neural networks, and evolutionary computations, emphasizing their role in solving complex, data-driven healthcare problemsIncludes topics like data management, visualization, protection, and complex adaptive systems, as well as hybrid computational intelligence techniques for synergistic problem-solving strategiesThis volume will serve as an ideal text for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and mathematics. The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory for reliability engineering. It further presents optimization solutions for smart and secure healthcare services. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

Title: Big Data Analytics and Intelligent Applications for Smart and Secure Healthcare Services (Hardcover)
Publisher: Taylor & Francis Ltd, London
Publication Date: 2025
Language: English
ISBN 10: 1032832797
ISBN 13: 9781032832791
Binding: Hardcover
Condition: new

About this title

Synopsis

The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory, for reliability engineering. It further presents optimization solutions for smart and secure healthcare services. The text showcases how to predict the failure and repair rates of healthcare subsystems using computational intelligence.

This book:

Explores how data-driven methodologies and advanced computational intelligence are revolutionizing the healthcare industry, promoting efficiency, accessibility, and sustainability
Highlights the pivotal role that big data analytics plays in harnessing vast amounts of patient records, clinical information, and real-time medical data to provide timely insights for healthcare professionals and policymakers
Discusses the integration of artificial intelligence and machine learning techniques in healthcare, with a focus on revolutionizing disease detection, treatment planning, and resource allocation
Lays the foundation for developing sustainable healthcare systems that are adaptable to long-term challenges, such as population growth, emerging diseases, and resource constraints
Covers computational intelligence techniques, like fuzzy logic, neural networks, and evolutionary computations, emphasizing their role in solving complex, data-driven healthcare problems
Includes topics like data management, visualization, protection, and complex adaptive systems, as well as hybrid computational intelligence techniques for synergistic problem-solving strategies

This volume will serve as an ideal text for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and mathematics.

About the Author

Kamal Upreti is currently working as an Associate Professor in Department of Computer Science, CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India. He completed his B. Tech (Hons) Degree from UPTU, M. Tech (Gold Medalist), PGDM(Executive) from IMT Ghaziabad and PhD in Department of Computer Science & Engineering. He has completed Postdoc from National Taipei University of Business, TAIWAN funded by MHRD. He has published 50+ Patents, 45+ Books, 32+Magazine issues and 110+ Research papers in various reputed Journals and international Conferences. His areas of Interest such as Modern Physics, Data Analytics, Cyber Security, Machine Learning, Health Care, Embedded System and Cloud Computing. He has enriched years’ experience in corporate and teaching experience in Engineering Colleges. He worked with HCL, NECHCL, Hindustan Times, Dehradun Institute of Technology and Delhi Institute of Advanced Studies, with more than 15+ years of enriching experience in research, Academics and Corporate. He also worked in NECHCL in Japan having project – “Hydrastore “ funded by joint collaboration between HCL and NECHCL Company. Dr. Upreti worked on Government project – “Integrated Power Development Scheme (IPDS)” was launched by Ministry of Power, Government of India with the objectives of Strengthening of sub-transmission and distribution network in the urban areas. Recently, he has completed work with Joint collaboration with GB PANT & AIIMS Delhi, under funded project of ICMR Scheme on Cardiovascular diseases prediction strokes using Machine Learning Techniques from year 2017-2020 of having fund of 80 Lakhs. He got 3 Lakhs fund from DST SERB for conducting International Conference , ICSCPS-2024 , 13-14 Sept 2024. Recently, he got 10 Lakhs fund from AICTE - Inter-Institutional Biomedical Innovations and Entrepreneurship Program (AICTE-IBIP) for 2024-2026. He has been a Chair Person in several sessions at National and International conferences and also a key note speaker for various platforms such as Skill based training, Corporate Trainer, Guest faculty and faculty development Programme. He awarded as best teacher, best researcher, extra academic performer and Gold Medalist in M. Tech programme.

Nishant Kumar is an Associate Professor in the School of Business and Management, CHRIST (Deemed to be University), Bangalore (India). During the initial phase of his career, he worked with Amity University, Doon University, Delhi Institute of Advanced Studies, HCL Infosystems ltd., with more than 12 years of rich experience in academics, research, and corporate. He also worked on an international research project, “Vulnerability and possible business adoption measures in the Himalayan region,” funded by the Swiss Agency for Development and Cooperation (SDC). Dr. Kumar has published over 20 research papers in journals with ABS, SCOPUS, Web of Science, and ABDC classifications. He has also published book, patents, book chapters, and also a member in the Editorial Review Board of journals like Global business strategy for Sustainability, Journal of market access & health policy, Research Journal of Textile and Apparel, Human Behavior and Emerging Technologies, Technological Innovations for Sustainability and Business Growth, and Global journal of flexible systems management. He has presented papers at various National & International conferences in prestigious institutes like IIM Bangalore, IIM Indore, IIT Roorkee, University of Mumbai and has won outstanding research paper awards. His interest and expertise include intelligent computation technologies, blockchain and its application, data analytics, mixed-methodology, multivariate statistical analysis, model development, and validation using SPSS, PLS-SEM, and AMOS.

Mohammad Shabbir Alam is presently working as Senior Lecturer in College of Computer Science and Information Technology, Jazan University (Public University), Jazan, Kingdom of Saudi Arabia. He received his master’s in computer science & applications (MCA) in years 2007 from Aligarh Muslim University, India. He is doing PhD Computer engineering from UTM Malaysia. More than 15 years of academic and industry experiences in area of Computer Science and Information Technology. He has published 1 UK Patents, 2 German Patents and 4 Australian patents, 4 Books, 1 Book chapter and more than 30+ research papers in reputed international journals and national/international conference proceedings. His areas of research interest include Deep learning, Blockchain, Machine Learning and Health Care.

Mohammad Shahnawaz Nasir is presently working as Senior Lecturer in College of Computer Science and Information Technology, Jazan University (Public University), Jazan, Kingdom of Saudi Arabia. He received his master’s in computer science & applications (MCA) and master’s in science (M.Sc.) Physics, Electronic specializations in years 1997 and 1992 respectively from Aligarh Muslim University, India. Previously worked with Arab Open University, Riyadh, Kingdom of Saudi Arabia, Al-Madinah Al-Manuwarrah Research and Studies Center (KSA), Jamia Millia Islamia (New-Delhi) and Aligarh Muslim University, Aligarh, India. More than 28 years of academic and industry experiences (20 Years in Teaching and 8 Years in IT Industry) in area of Computer Science and Information Technology. He has published 6 Patents, 2 Books, 1 Book chapter and more than 20+ research papers in reputed international journals and national/international conference proceedings. His areas of research interest include Data Mining, Blockchain, Machine Learning and Health Care.

Debabrata Samanta is presently working as an Assistant Professor & Program Head, at the Department of Computing and Information Technologies, Rochester Institute of Technology, Kosovo, Europe. He obtained his Ph.D. in Computer Science and Engg. from the National Institute of Technology, Durgapur, India, in the area of SAR Image Processing. He is keenly interested in Interdisciplinary Research & Development and has experience spanning fields of SAR Image Analysis, Video surveillance, a Heuristic algorithm for Image Classification, Deep Learning Framework for Detection and Classification, Blockchain, Statistical Modelling, Wireless Adhoc Networks, Natural Language Processing. He has successfully completed six Consultancy Projects. He has received funding of 8,110 USD under Open Access, Publication fund. He has received funding under International Travel Support Scheme in 2019 for attending the conference in Thailand. He has received Travel Grant to speaker at conferences, seminars, etc for two years from July 2019. He is the owner of 22 Patents (4 Design Indian Patents and 2 Australian patents Granted, 16 Indian Patents published) and 2 copyright. He has authored and co-authored over 244 research papers in an international journal (SCI/SCIE/ESCI/Scopus) and conferences proceedings. He received “Scholastic Award” at the 2nd International Conference on Computer Science and IT application, CSIT-2011, Delhi, India. He is a co-author of 13 books and the co-editor of 13 books, available for sale on Amazon and Flipkart. He has presented various papers at international conferences and received Best Paper awards. He has the author and co-authors of 08 Book Chapters. He also serves as acquisition editor for several publications of international repute. He is IEEE Senior Member, an Associate Life Member of the Computer Society of India (CSI), and a Life Member of the Indian Society for Technical Education (ISTE). He is a Convener, Keynote speaker, Session chair, Co-chair, Publicity chair, Publication chair, Advisory Board, and Technical Program Committee member in many prestigious International and National conferences. He has invited speakers at several Institutions.

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