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Enabling Healthcare 4.0 for Pandemics, Abhinav Juneja, Vikram Bali, Sapna Juneja, Vishal



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Автор: Abhinav Juneja, Vikram Bali, Sapna Juneja, Vishal   (Абхинав Юнейя)
Название:  Enabling Healthcare 4.0 for Pandemics
Перевод названия: Абхинав Юнейя: Применение Healthcare 4.0 для пандемий
ISBN: 9781119768791
Издательство: Wiley
Классификация:
ISBN-10: 1119768799
Обложка/Формат: Hardcover
Страницы: 300
Вес: 0.666 кг.
Дата издания: 29.09.2021
Серия: A philosopher looks at
Язык: English
Издание: 2nd edition
Иллюстрации: Worked examples or exercises
Размер: 234 x 161 x 23
Читательская аудитория: Professional & vocational
Подзаголовок: The trial for breach of promise of marriage held at the guildhall sittings, on april 1, 1828, before mr. justice stareleigh and a special jury of the city of london. edited with notes and commentaries by percy fitzgerald. adapted from the pickwick pa
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: 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.



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