COVID-19 has pushed companies, schools, and healthcare institutions over the technology tipping point—and transformed the business of healthcare forever. This timely book, Global Digital Transformation Due to the COVID-19 Pandemic, explores this transformation by looking at the adoption of artificial intelligence, machine learning, and the Internet of Things (IoT) technologies that have proven effective in the medical context. These technologies are now being used to improve treatment efficiency, avoid the risk of false diagnosis, make therapeutic decisions, and predict the outcome of many clinical scenarios, especially the COVID-19 pandemic.

The book begins with the fundamentals of computer intelligence, related techniques, and procedures. This book describes the cutting-edge methods of new information technology used in healthcare, addressing the problem of effective data analysis and storage in healthcare institutions.

The volume provides an overview of communication technology for combating the COVID-19 pandemic and delves into mobile application technology, medical diagnosis technology, transmission dynamics prediction models, social media and technology instruction design in teaching amid COVID-19, post-pandemic crowd safety provisioning applications, to name a few.

The interdisciplinary and transdisciplinary research advances discussed here will be valuable for academics, engineers, industry professionals, researchers, scientists, and students working in the fields of data and information science.

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Yes, you can access Global Digital Transformation and the Covid-19 Pandemic by Rajdeep Chowdhury, K. Martin Sagayam, Neyara Radwan, Ahmed A. Elngar, Rajdeep Chowdhury,K. Martin Sagayam,Neyara Radwan,Ahmed A. Elngar in PDF and/or ePUB format, as well as other popular books in Medicine & Information Technology. We have over one million books available in our catalogue for you to explore.

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Year

Print ISBN

eBook ISBN

Edition

Topic

Medicine

Subtopic

Information Technology

Cover Page
Half Title page
Title Page
Copyright Page
Contributors
Contents
Contributors
Abbreviations
Preface
Chapter 1 Use of Communication Technology for Combating the COVID-19 Pandemic
Chapter 2 Mobile Application Technology Innovation Design Learning Model Using System Management Learning Approach as a Covid-19 Solution at the National Development University “Veteran” Yogyakarta
Chapter 3 A Detailed Study on the COVID-19 Outbreak in India and a Deep Learning-based Approach to Detect Lung Infection Using CT Images
Chapter 4 Shortest Path Problem Using Warshall–Floyd Algorithm in Spherical Fuzzy Environment: An Outlook in Government-Controlled Transportation System in COVID-19
Chapter 5 An Intelligent Agent-Based Approach for COVID-19 Patient Distribution Management
Chapter 6 An Artificial Intelligence (AI) Approach in Medical Science for Predicting COVID-19 Cases
Chapter 7 IoT in Healthcare Ecosystem
Chapter 8 Transmission Dynamics Prediction Models with Data Visualization and Analysis of COVID-19
Chapter 9 Mucormycosis in India: Pathways of Spread in Post-COVID-19 and Diabetic Patients
Chapter 10 Healthcare and Cybersecurity: Analysis of the UAE Healthcare System
Chapter 11 Social Media and Technology Instruction Design in Teaching Amid COVID-19
Chapter 12 Factors Affecting Placement Preparation in the COVID-19 Era: A Case Study
Chapter 13 Implementation of a Postpandemic Crowd Safety Provisioning Application Using AI Methods
Index

About this book

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Table of contents