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Synopsis
The healthcare landscape is constantly evolving, and one of the most significant concerns that healthcare professionals deal with is understanding how to use biomedical intelligence to improve patient outcomes. With the increasing complexity of healthcare computing systems, including technologies like deep learning and the Internet of Things, it can be challenging to navigate these advancements. Machine Learning and Generative AI in Smart Healthcare is a practical tool for healthcare professionals, researchers, and policymakers who are seeking to implement biomedical intelligence solutions. It provides a clear roadmap for using prescriptive and predictive analytics in machine learning to enhance healthcare outcomes. Going beyond the basics, it delves into healthcare computing and networking complexities. By delving into topics such as data mining, disease prediction, and AI applications, deep learning approaches, decision support systems, and optimization techniques, this book equips readers with the practical knowledge they need to optimize healthcare delivery and management.
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About the Author
S. Prabu have completed Bachelor of Engineering in Computer Science and Engineering from Sona College of Technology (Autonomous) and Master of Technology in Remote Sensing from College of Engineering Guindy, Anna University Chennai and one more Master of Technology in Information Technology at School of Computer Science and Engineering, Bharathidasan University Trichy. Did my Doctoral studies on Integration of GIS and Artificial Neural Networks to Map the Landslide Susceptibility from College of Engineering Guindy, Anna University, Chennai. He was a Post-Doctoral Fellow at GISE Advanced research lab, Department of Computer Science and Engineering, Indian Institute of Technology Bombay. He is having 15+ years of teaching experiences. He is a senior member of IACSIT, CSI, ACM, IACSIT, IEEE (WIE), ACEEE. He has published more than 130 papers in International Journals/International Conference Proceedings/National Conferences. He has filed two Patents and also awarded with Dr. APJ Abdul Kalam Award for Teaching Excellence. He served as a Division Chair for Parallel and Distributed Computing and Information Security, School of Computing Science and Engineering, Vellore Institute of Technology, Vellore.Currently, he is working as an Associate Professor, Department of Banking Technology, Pondicherry University (A Central University), Pondicherry - 605 014, India
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The healthcare landscape is constantly evolving, and one of the most significant concerns that healthcare professionals deal with is understanding how to use biomedical intelligence to improve patient outcomes. With the increasing complexity of healthcare computing systems, including technologies like deep learning and the Internet of Things, it can be challenging to navigate these advancements. Machine Learning and Generative AI in Smart Healthcare is a practical tool for healthcare professionals, researchers, and policymakers who are seeking to implement biomedical intelligence solutions. It provides a clear roadmap for using prescriptive and predictive analytics in machine learning to enhance healthcare outcomes. Going beyond the basics, it delves into healthcare computing and networking complexities. By delving into topics such as data mining, disease prediction, and AI applications, deep learning approaches, decision support systems, and optimization techniques, this book equips readers with the practical knowledge they need to optimize healthcare delivery and management. Seller Inventory # 9798369337196
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Hardback. Condition: New. The healthcare landscape is constantly evolving, and one of the most significant concerns that healthcare professionals deal with is understanding how to use biomedical intelligence to improve patient outcomes. With the increasing complexity of healthcare computing systems, including technologies like deep learning and the Internet of Things, it can be challenging to navigate these advancements. Machine Learning and Generative AI in Smart Healthcare is a practical tool for healthcare professionals, researchers, and policymakers who are seeking to implement biomedical intelligence solutions. It provides a clear roadmap for using prescriptive and predictive analytics in machine learning to enhance healthcare outcomes. Going beyond the basics, it delves into healthcare computing and networking complexities. By delving into topics such as data mining, disease prediction, and AI applications, deep learning approaches, decision support systems, and optimization techniques, this book equips readers with the practical knowledge they need to optimize healthcare delivery and management. Seller Inventory # LU-9798369337196
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Hardback. Condition: New. The healthcare landscape is constantly evolving, and one of the most significant concerns that healthcare professionals deal with is understanding how to use biomedical intelligence to improve patient outcomes. With the increasing complexity of healthcare computing systems, including technologies like deep learning and the Internet of Things, it can be challenging to navigate these advancements. Machine Learning and Generative AI in Smart Healthcare is a practical tool for healthcare professionals, researchers, and policymakers who are seeking to implement biomedical intelligence solutions. It provides a clear roadmap for using prescriptive and predictive analytics in machine learning to enhance healthcare outcomes. Going beyond the basics, it delves into healthcare computing and networking complexities. By delving into topics such as data mining, disease prediction, and AI applications, deep learning approaches, decision support systems, and optimization techniques, this book equips readers with the practical knowledge they need to optimize healthcare delivery and management. Seller Inventory # LU-9798369337196
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