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Enabling Healthcare 4.0 for Pandemics: A Roadmap Using AI, Machine Learning, IoT and Cognitive Technologies
Enabling Healthcare 4.0 for Pandemics: A Roadmap Using AI, Machine Learning, IoT and Cognitive Technologies
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- More about Enabling Healthcare 4.0 for Pandemics: A Roadmap Using AI, Machine Learning, IoT and Cognitive Technologies
The book explores the role and scope of AI, machine learning, and other current technologies to handle pandemics, providing a roadmap for harnessing these technologies to aid in dealing with emergency pandemic outbreaks. It highlights the need to improvise healthcare systems with modern computing and data management platforms to increase reliability and proposes smart IoT-based systems for detection, prevention, and cure. The book is intended for researchers and practitioners in computer science, AI, bioinformatics, data science, biomedical statistics, and industry professionals in disaster and pandemic management.
Format: Hardback
Length: 352 pages
Publication date: 05 November 2021
Publisher: John Wiley & Sons Inc
The book explores the role and scope of artificial intelligence (AI), machine learning (ML), and other current technologies in handling pandemics. In this timely publication, the editors delve into the current state of practice in Healthcare 4.0 and offer a comprehensive roadmap for harnessing the power of artificial intelligence, machine learning, the Internet of Things (IoT), and other modern cognitive technologies to effectively respond to emergency pandemic outbreaks. Recognizing the urgent need to enhance healthcare systems through the integration of modern computing and data management platforms, the book advocates for the improvement of human processes and increased life expectancy. It emphasizes the immediate requirement for developing smart IoT-based systems capable of precise detection, prevention, and cure of pandemics. While acknowledging the challenges that lie ahead, the book proposes a novel approach to organizing technological warfare in preparation for future pandemics.
The book provides a comprehensive overview of state-of-the-art technological advancements in pandemic management. It delves into AI and ML-based methods for identifying and forecasting the spread of pandemics, utilizing smart IoT-based ecosystems to enhance pandemic scenarios. The book is intended for a wide audience, including researchers and practitioners in computer science, artificial intelligence, bioinformatics, data scientists, biomedical statisticians, as well as industry professionals involved in disaster and pandemic management.
By exploring the intersection of AI, ML, IoT, and other cutting-edge technologies, this book offers valuable insights and strategies for navigating the complexities of pandemic response and preparedness. It serves as a valuable resource for policymakers, healthcare professionals, and researchers seeking to enhance their understanding and expertise in this critical field.
Weight: 610g
Dimension: 231 x 162 x 23 (mm)
ISBN-13: 9781119768791
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