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.

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Yes, you can access Enabling Healthcare 4.0 for Pandemics by Abhinav Juneja, Vikram Bali, Sapna Juneja, Vishal Jain, Prashant Tyagi, Abhinav Juneja,Vikram Bali,Sapna Juneja,Vishal Jain,Prashant Tyagi in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.