ENABLING HEALTHCARE 4.0 for PANDEMICS
The book explores the role and scope of AI, machine learning and other current technologies to handle pandemics.
In this timely book, the editors explore the current state of practice in Healthcare 4.0 and provide a roadmap for harnessing artificial intelligence, machine learning, and Internet of Things, as well as other modern cognitive technologies, to aid in dealing with the various aspects of an emergency pandemic outbreak. There is a need to improvise healthcare systems with the intervention of modern computing and data management platforms to increase the reliability of human processes and life expectancy. There is an urgent need to come up with smart Io T-based systems which can aid in the detection, prevention and cure of these pandemics with more precision. There are a lot of challenges to overcome but this book proposes a new approach to organize the technological warfare for tackling future pandemics.
In this book, the reader will find:
* State-of-the-art technological advancements in pandemic management;
* AI and ML-based identification and forecasting of pandemic spread;
* Smart Io T-based ecosystem for pandemic scenario.
Audience
The book will be used by researchers and practitioners in computer science, artificial intelligence, bioinformatics, data scientists, biomedical statisticians, as well as industry professionals in disaster and pandemic management.
The book explores the role and scope of AI, machine learning and other current technologies to handle pandemics.
In this timely book, the editors explore the current state of practice in Healthcare 4.0 and provide a roadmap for harnessing artificial intelligence, machine learning, and Internet of Things, as well as other modern cognitive technologies, to aid in dealing with the various aspects of an emergency pandemic outbreak. There is a need to improvise healthcare systems with the intervention of modern computing and data management platforms to increase the reliability of human processes and life expectancy. There is an urgent need to come up with smart Io T-based systems which can aid in the detection, prevention and cure of these pandemics with more precision. There are a lot of challenges to overcome but this book proposes a new approach to organize the technological warfare for tackling future pandemics.
In this book, the reader will find:
* State-of-the-art technological advancements in pandemic management;
* AI and ML-based identification and forecasting of pandemic spread;
* Smart Io T-based ecosystem for pandemic scenario.
Audience
The book will be used by researchers and practitioners in computer science, artificial intelligence, bioinformatics, data scientists, biomedical statisticians, as well as industry professionals in disaster and pandemic management.
€184.99
关于作者
Abhinav Juneja Ph D is Professor and Head of Computer Science & Information Technology Department, at KIET Group of Institutions, Ghaziabad, Delhi-NCR, India. He has published more than 40 research articles.Vikram Bali Ph D is Professor and Head of Computer Science and Engineering Department at JSS Academy of Technical Education, Noida, India.
Sapna Juneja Ph D is Professor and Head of Computer Science Department at IMS Engineering College, Ghaziabad, India.
Vishal Jain Ph D is an Associate Professor in the Department of Computer Science and Engineering, Sharda University, Greater Noida, India. He has published more than 85 research articles and authored/edited more than 15 books.
Prashant Tyagi, MBBS MS MCh is a practicing plastic surgeon at Cosmplastik Clinic, Sonepat, Delhi-NCR, India.
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语言 英语 ● 格式 EPUB ● 网页 352 ● ISBN 9781119769064 ● 文件大小 4.3 MB ● 编辑 Prashant Tyagi & Abhinav Juneja ● 出版者 John Wiley & Sons ● 发布时间 2021 ● 版 1 ● 下载 24 个月 ● 货币 EUR ● ID 7929477 ● 复制保护 Adobe DRM
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