Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization
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Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization

Sailesh Suryanarayan Iyer (Rai University, India), Arti Jain (Jaypee Institute of Information Technology, India) and John Wang (Montclair State University, USA)
Pages: 300|DOI: 10.4018/978-1-7998-8786-7
ISBN13: 9781799887867|ISBN10: 1799887863|EISBN13: 9781799887881|ISBN13 Softcover: 9781799887874
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Description

The sudden outbreak of pandemic during 2020 has curbed human lifestyle which has imposed restrictions on regular daily movements, that earlier were taken for granted. It has applied sudden breaks to the aspirations of people all around the Globe. There is absolutely no point in having good education and health if the country cannot protect itself from both internal and external aggression. The greatest challenge is posed to Welfare Services which is almost neglected in most of the countries. Doctors, nurses and other medical support staff are also at an incredibly high risk of contagious infection and losing their life. Lockdown has added to the already worse situation, as it is leading to an economic breakdown and also psychological disorders in humans like depression, leading to suicides and other heinous crimes. Resurgence and penetration of this pandemic has also forced mankind to bring notable and positive changes in their hygiene standards, lifestyle and food habits. The Welfare segment has received the maximum attention and now every possible effort is being made to prioritize the services at the top. This can all be made possible while using the latest tools, technologies and resources that can impact the human culture and welfare of the well-being. The novel methods and devices that can make the Welfare Services more efficient, adaptive, transparent and cost-effective need to be explored.

This book provides extensive research of Lifestyle Management and Services that contribute towards indication, detection, conduction, protection and technological enhancement including Machine Learning, Deep Learning, Artificial Intelligence, Big Data Analytics and Visualization. The secondary objective is to provide mechanisms which can improve lifestyle monitoring and help in increasing the immunity of the human body. This book is ideally designed for Students, Researchers, Data Scientists, Doctors, Hospital Administrators, Engineers and Agile Citizens to understand the pre and post consequences of pandemic in the Welfare Services. This book will also be instrumental in removing several myths regarding the human welfare and substituting human intervention in the remedial field wherever possible. The chapters of this book revisit Welfare management with a novel perspective and suggest new practices that will revolutionize the entire Welfare Sector leading to a credible and worthy Society with high mortality.

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

John Wang is a professor in the Department of Information & Operations Management at Montclair State University, USA. Having received a scholarship award, he came to the USA and completed his PhD in operations research from Temple University. Due to his extraordinary contributions beyond a tenured full professor, Dr. Wang has been honored with a special range adjustment in 2006. He has published over 100 refereed papers and seven books. He has also developed several computer software programs based on his research findings.

He is the Editor-in-Chief of International Journal of Applied Management Science, International Journal of Operations Research and Information Systems, and International Journal of Information Systems and Supply Chain Management. He is the Editor of Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (six-volume) and the Editor of the Encyclopedia of Data Warehousing and Mining, 1st (two-volume) and 2nd (four-volume). His long-term research goal is on the synergy of operations research, data mining and cybernetics.