Enabling Healthcare 4.0 for Pandemics: A Roadmap Using AI, Machine Learning, IoT and Cognitive Technologies
- 4h 59m
- Abhinav Juneja, Prashant Tyagi, Sapna Juneja, Vikram Bali, Vishal Jain
- John Wiley & Sons (US)
- 2021
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 IoT-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 IoT-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.
About the Author
Abhinav Juneja PhD 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 PhD is Professor and Head of Computer Science and Engineering Department at JSS Academy of Technical Education, Noida, India.
Sapna Juneja PhD is Professor and Head of Computer Science Department at IMS Engineering College, Ghaziabad, India.
Vishal Jain PhD 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.
In this Book
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COVID-19 and Machine Learning Approaches to Deal with the Pandemic
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Healthcare System 4.0 Perspectives on COVID-19 Pandemic
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Analysis and Prediction on COVID-19 Using Machine Learning Techniques
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Rapid Forecasting of Pandemic Outbreak Using Machine Learning
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Rapid Forecasting of Pandemic Outbreak Using Machine Learning—The Case of COVID-19
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Emerging Technologies for Handling Pandemic Challenges
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Unfolding the Potential of Impactful Emerging Technologies Amid COVID-19
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Advances in Technology—Preparedness for Handling Pandemic Challenges
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Emerging Technologies for COVID-19
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Emerging Techniques for Handling Pandemic Challenges
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A Hybrid Metaheuristic Algorithm for Intelligent Nurse Scheduling
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Multi-Purpose Robotic Sensing Device for Healthcare Services
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Prevalence of Internet of Things in Pandemic
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Mathematical Insight of COVID-19 Infection—A Modeling Approach
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Machine Learning—A Tool to Combat COVID-19
