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Soft Computing Techniques in Connected Healthcare Systems

Moolchand Sharma
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      This book provides an examination of applications of soft computing techniques related to healthcare systems and can be used as a reference guide for assessing the roles of various techniques. Soft Computing Techniques in Connected Healthcare Systems presents soft computing techniques and applications used in healthcare systems, along with the latest advancements. The authors examine how connected healthcare is the essence of combining a practical operative procedure of interconnectedness of electronic health records, mHealth, clinical informatics, electronic data exchange, practice management solutions, and pharmacy management. The book focuses on different soft computing techniques, such as fuzzy logic, ANN, and GA, which will enhance services in connected health systems, such as remote diagnosis and monitoring, medication monitoring devices, identifying and treating the underlying causes of disorders and diseases, improved access to specialists, and lower healthcare costs. The chapters also examine descriptive, predictive, and social network techniques and discuss analytical tools and the important role they play in enhancing the services to connected healthcare systems. Finally, the authors address real-time challenges with real-world case studies to enhance the comprehension of topics. This book is intended for under graduate and graduate students, researchers, and practicing professionals in the field of connected healthcare. It provides an overview for beginners while also addressing professionals in the industry on the importance of soft computing approaches in connected healthcare systems.

      Format: Hardback CONTRIBUTORS: Moolchand Sharma EAN: 9781032513478 COUNTRY: United Kingdom PAGES: 292 WEIGHT: 453 g HEIGHT: 234 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2023-12-20 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Science, MEDICAL / Informatics, TECHNOLOGY & ENGINEERING / Electrical, TECHNOLOGY & ENGINEERING / Biomedical WIDTH: 156 mm SPINE:

      Book Themes:

      Medical and health informatics, Biomedical engineering, Automatic control engineering, Environmental science, engineering and technology, Information technology: general topics, Algorithms and data structures, Computer applications in industry and technology, Artificial intelligence, Health, Relationships and Personal development

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      Moolchand Sharma is currently an Assistant Professor in the Department of Computer Science and Engineering at Maharaja Agrasen Institute of Technology, GGSIPU, Delhi. He has published scientific research publications in reputed International Journals and Conferences, including SCI indexed and Scopus indexed Journals such as Cognitive Systems Research (Elsevier), Physical Communication (Elsevier), Intelligent Decision Technologies: An International Journal, Cyber-Physical Systems (Taylor & Francis Group), International Journal of Image & Graphics (World Scientific), International Journal of Innovative Computing and Applications (Inderscience) & Innovative Computing and Communication Journal (Scientific Peer reviewed Journal). He has authored/co-authored chapters with international publishers like Elsevier, Springer, Wiley, and De Gruyter. He has authored/edited four books with a national/international level publisher (CRC Press, Bhavya Publications). His research area includes Artificial Intelligence, Nature-Inspired Computing, Security in Cloud Computing, Machine Learning, and Search Engine Optimization. He is associated with various professional bodies, such as IEEE, ISTE, IAENG, ICSES, UACEE, Internet Society, Universal Inovators research lab life membership, etc. He possesses teaching experience of more than 10 years. He is the co-convener of ICICC, DOSCI, ICDAM & ICCCN Springer Scopus Indexed conference series and ICCRDA-2020 Scopus Indexed IOP Material Science & Engineering conference series. He is also the organizer and Co-Convener of the International Conference on Innovations and Ideas toward Patents (ICIIP) series. He is also the Advisory and TPC committee member of the ICCIDS-2022 Elsevier SSRN Conference. He is also the reviewer of many reputed journals, such as Springer, Elsevier, IEEE, Wiley, Taylor & Francis Group, IJEECS, and World Scientific Journal, and many springer conferences. He has also served as a session chair in many international Springer conferences. He is currently a doctoral researcher at DCR University of Science and Technology, Haryana. He completed his Post Graduation in 2012 from SRM UNIVERSITY, NCR CAMPUS, GHAZIABAD, and Graduated in 2010 from KNGD MODI ENGG. COLLEGE, GBTU.Prof. Suman Deswal holds a Ph.D. from DCR University of Science and Technology, Murthal, India. She completed her M.Tech. (CSE) from Kurukshetra University, Kurukshetra, India, and B.Tech. (Computer Science and Engg.) from CR State College of Engg., Murthal, India, in 2009 and 1998, respectively. She possesses 21 years of teaching experience and is presently working as a Professor in the Department of Computer Science and Engineering at DCR University of Science and Technology, Murthal, India. Her research area includes Wireless Networks, Heterogeneous Networks, Distributed Systems, Machine Learning, Deep Learning Approaches, and Bioinformatics. She has many research papers to her credit in reputed journals, including SCI indexed, and Scopus In

      This book provides an examination of applications of soft computing techniques related to healthcare systems and can be used as a reference guide for assessing the roles of various techniques. Soft Computing Techniques in Connected Healthcare Systems presents soft computing techniques and applications used in healthcare systems, along with the latest advancements. The authors examine how connected healthcare is the essence of combining a practical operative procedure of interconnectedness of electronic health records, mHealth, clinical informatics, electronic data exchange, practice management solutions, and pharmacy management. The book focuses on different soft computing techniques, such as fuzzy logic, ANN, and GA, which will enhance services in connected health systems, such as remote diagnosis and monitoring, medication monitoring devices, identifying and treating the underlying causes of disorders and diseases, improved access to specialists, and lower healthcare costs. The chapters also examine descriptive, predictive, and social network techniques and discuss analytical tools and the important role they play in enhancing the services to connected healthcare systems. Finally, the authors address real-time challenges with real-world case studies to enhance the comprehension of topics. This book is intended for under graduate and graduate students, researchers, and practicing professionals in the field of connected healthcare. It provides an overview for beginners while also addressing professionals in the industry on the importance of soft computing approaches in connected healthcare systems.

      Format: Hardback CONTRIBUTORS: Moolchand Sharma EAN: 9781032513478 COUNTRY: United Kingdom PAGES: 292 WEIGHT: 453 g HEIGHT: 234 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2023-12-20 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Science, MEDICAL / Informatics, TECHNOLOGY & ENGINEERING / Electrical, TECHNOLOGY & ENGINEERING / Biomedical WIDTH: 156 mm SPINE:

      Book Themes:

      Medical and health informatics, Biomedical engineering, Automatic control engineering, Environmental science, engineering and technology, Information technology: general topics, Algorithms and data structures, Computer applications in industry and technology, Artificial intelligence, Health, Relationships and Personal development

      Customer Reviews

      Be the first to write a review
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      (0)
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      Moolchand Sharma is currently an Assistant Professor in the Department of Computer Science and Engineering at Maharaja Agrasen Institute of Technology, GGSIPU, Delhi. He has published scientific research publications in reputed International Journals and Conferences, including SCI indexed and Scopus indexed Journals such as Cognitive Systems Research (Elsevier), Physical Communication (Elsevier), Intelligent Decision Technologies: An International Journal, Cyber-Physical Systems (Taylor & Francis Group), International Journal of Image & Graphics (World Scientific), International Journal of Innovative Computing and Applications (Inderscience) & Innovative Computing and Communication Journal (Scientific Peer reviewed Journal). He has authored/co-authored chapters with international publishers like Elsevier, Springer, Wiley, and De Gruyter. He has authored/edited four books with a national/international level publisher (CRC Press, Bhavya Publications). His research area includes Artificial Intelligence, Nature-Inspired Computing, Security in Cloud Computing, Machine Learning, and Search Engine Optimization. He is associated with various professional bodies, such as IEEE, ISTE, IAENG, ICSES, UACEE, Internet Society, Universal Inovators research lab life membership, etc. He possesses teaching experience of more than 10 years. He is the co-convener of ICICC, DOSCI, ICDAM & ICCCN Springer Scopus Indexed conference series and ICCRDA-2020 Scopus Indexed IOP Material Science & Engineering conference series. He is also the organizer and Co-Convener of the International Conference on Innovations and Ideas toward Patents (ICIIP) series. He is also the Advisory and TPC committee member of the ICCIDS-2022 Elsevier SSRN Conference. He is also the reviewer of many reputed journals, such as Springer, Elsevier, IEEE, Wiley, Taylor & Francis Group, IJEECS, and World Scientific Journal, and many springer conferences. He has also served as a session chair in many international Springer conferences. He is currently a doctoral researcher at DCR University of Science and Technology, Haryana. He completed his Post Graduation in 2012 from SRM UNIVERSITY, NCR CAMPUS, GHAZIABAD, and Graduated in 2010 from KNGD MODI ENGG. COLLEGE, GBTU.Prof. Suman Deswal holds a Ph.D. from DCR University of Science and Technology, Murthal, India. She completed her M.Tech. (CSE) from Kurukshetra University, Kurukshetra, India, and B.Tech. (Computer Science and Engg.) from CR State College of Engg., Murthal, India, in 2009 and 1998, respectively. She possesses 21 years of teaching experience and is presently working as a Professor in the Department of Computer Science and Engineering at DCR University of Science and Technology, Murthal, India. Her research area includes Wireless Networks, Heterogeneous Networks, Distributed Systems, Machine Learning, Deep Learning Approaches, and Bioinformatics. She has many research papers to her credit in reputed journals, including SCI indexed, and Scopus In

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