| Description |
1 online resource |
| Contents |
Machine Learning for Handling COVID-19. COVID-19 and Machine Learning Approaches to Deal With the Pandemic / Sapna Juneja, Abhinav Juneja, Vikram Bali, Vishal Jain -- Healthcare System 4.0 Perspectives on COVID-19 Pandemic / Rehab A Rayan, Imran Zafar, Iryna B Romash -- Analysis and Prediction on COVID-19 Using Machine Learning Techniques / Supriya Raheja, Shaswata Datta -- Rapid Forecasting of Pandemic Outbreak Using Machine Learning / Sujata Chauhan, Madan Singh, Puneet Garg -- Rapid Forecasting of Pandemic Outbreak Using Machine Learning: The Case of COVID-19 / Nishant Jha, Deepak Prashar -- Emerging Technologies to Deal with COVID-19. Emerging Technologies for Handling Pandemic Challenges / D Karthika, K Kalaiselvi -- Unfolding the Potential of Impactful Emerging Technologies Amid COVID-19 / Nusrat Rouf, Aatif Kaisar Khan, Majid Bashir Malik, Akib Mohi Ud Din Khanday, Nadia Gul -- Advances in Technology: Preparedness for Handling Pandemic Challenges / Shweta Sinha, Vikas Thada -- Emerging Technologies for COVID-19 / Rohit Anand, Nidhi Sindhwani, Avinash Saini, Shubham -- Emerging Techniques for Handling Pandemic Challenges / Ankur Gupta, Puneet Garg -- Algorithmic Techniques for Handling Pandemic. A Hybrid Metaheuristic Algorithm for Intelligent Nurse Scheduling / Tan Nhat Pham, Son Vu Truong Dao -- Multi-Purpose Robotic Sensing Device for Healthcare Services / Das HirakRanjan, Bhatia Dinesh, Ajan Patowary, Animesh Mishra -- Prevalence of Internet of Things in Pandemic / Rishita Khurana, Madhulika Bhatia -- Mathematical Insight of COVID-19 Infection-A Modeling Approach / Komal Arora, Pooja Khurana, Deepak Kumar, Bhanu Sharma -- Machine Learning: A Tool to Combat COVID-19 / Shakti Arora, Vijay Anant Athavale, Tanvi Singh. |
| Note |
Includes index. |
| Summary |
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. |
| Subject |
Artificial intelligence -- Medical applications.
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Medical technology.
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Medical Laboratory Science |
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Intelligence artificielle en médecine. |
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Technologie médicale. |
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Artificial intelligence -- Medical applications |
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Medical technology |
| Added Author |
Juneja, Abhinav, editor.
|
| Other Form: |
Print version: Juneja, Abhinav. Enabling Healthcare 4. 0 for Pandemics. Newark : John Wiley & Sons, Incorporated, ©2021 9781119768791 |
| ISBN |
9781119769064 (electronic bk.) |
|
111976906X (electronic bk.) |
|
9781119769088 (electronic bk. ; oBook) |
|
1119769086 (electronic bk. ; oBook) |
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1119769078 |
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9781119769071 (e-book) |
| Standard No. |
10.1002/9781119769088 doi |
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