T. AnanthKumar,R.Rajmohan,M.Pavithra,S. Balamurugan
Evolutionary Intelligence for Healthcare Applications
Evolutionary Intelligence for Healthcare Applications
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This book explores the use of evolutionary algorithms in healthcare applications, focusing on big data analytics, mobile health, personalized medicine, and clinical trial data management. It highlights techniques for early disease diagnosis, prediction, and prognosis and addresses ethical issues and challenges.
Format: Hardback
Length: 119 pages
Publication date: 23 November 2022
Publisher: Taylor & Francis Ltd
Evolutionary Intelligence for Healthcare Applications explores the transformative potential of evolutionary intelligence in the realm of healthcare, presenting a comprehensive guide to its applications. This book delves into the utilization of evolutionary intelligence in smart healthcare systems, encompassing big data analytics, mobile health, personalized medicine, and clinical trial data management. It emphasizes emerging concepts and approaches while showcasing a diverse range of evolutionary algorithm techniques employed for early disease diagnosis, prediction, and prognosis across various medical conditions. Moreover, the book addresses crucial ethical considerations and challenges that arise within the healthcare system, making it an invaluable resource for researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers alike.
Evolutionary Intelligence for Healthcare Applications explores the transformative potential of evolutionary intelligence in the realm of healthcare, presenting a comprehensive guide to its applications. This book delves into the utilization of evolutionary intelligence in smart healthcare systems, encompassing big data analytics, mobile health, personalized medicine, and clinical trial data management. It emphasizes emerging concepts and approaches while showcasing a diverse range of evolutionary algorithm techniques employed for early disease diagnosis, prediction, and prognosis across various medical conditions. Moreover, the book addresses crucial ethical considerations and challenges that arise within the healthcare system, making it an invaluable resource for researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers alike.
Evolutionary Intelligence for Healthcare Applications explores the transformative potential of evolutionary intelligence in the realm of healthcare, presenting a comprehensive guide to its applications. This book delves into the utilization of evolutionary intelligence in smart healthcare systems, encompassing big data analytics, mobile health, personalized medicine, and clinical trial data management. It emphasizes emerging concepts and approaches while showcasing a diverse range of evolutionary algorithm techniques employed for early disease diagnosis, prediction, and prognosis across various medical conditions. Moreover, the book addresses crucial ethical considerations and challenges that arise within the healthcare system, making it an invaluable resource for researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers alike.
Dimension: 216 x 138 (mm)
ISBN-13: 9781032185040
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