Overview
- Covers the state-of-the-art AI and machine learning (ML) tools for public health care in resource-constrained regions
- Includes challenges and opportunities especially when we consider social factors
- Serves as a resource for diverse audience: computer scientists, healthcare professionals, and social sciences
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)
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Table of contents (8 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Professor Loveleen Gaur, Ph.D., is Professor and Program Director, Artificial Intelligence & Business Intelligence and Data Analytics of the Amity International Business School, Amity University, Noida, India. She is Senior IEEE Member and Series Editor with CRC and Wiley. She has significantly contributed to enhancing scientific understanding by participating in over three hundred scientific conferences, symposia, and seminars, by chairing technical sessions and delivering plenary and invited talks. She has specialized in the fields of artificial intelligence, machine learning, pattern recognition, Internet of things, data analytics, and business intelligence. She has chaired various positions in the international conferences of repute and is Reviewer with top-rated journals of IEEE, SCI, and ABDC Journals. She has been honored with prestigious national and international awards. She is also actively involved in various reputed projects of Government of India and abroad.
Bibliographic Information
Book Title: Artificial Intelligence and Machine Learning in Public Healthcare
Book Subtitle: Opportunities and Societal Impact
Authors: KC Santosh, Loveleen Gaur
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-981-16-6768-8
Publisher: Springer Singapore
eBook Packages: Social Sciences, Social Sciences (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Softcover ISBN: 978-981-16-6767-1Published: 27 November 2021
eBook ISBN: 978-981-16-6768-8Published: 01 January 2022
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: XXIII, 74
Number of Illustrations: 16 b/w illustrations, 14 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Health Informatics, Machine Learning, Public Health