Artificial intelligence and machine learning in public healthcare : opportunities and societal impact / KC Santosh, Loveleen Gaur.
Santosh, K. C., author.; Gaur, Loveleen, author.
2021
R859.7.A78
Available Online

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Title Artificial intelligence and machine learning in public healthcare : opportunities and societal impact / KC Santosh, Loveleen Gaur.
Author Santosh, K. C., author.
ISBN 9789811667688 (electronic bk.)
9811667683 (electronic bk.)
9789811667671 (print)
9811667675
DOI https://doi.org/10.1007/978-981-16-6768-8
Published Singapore : Springer, 2021.
Language English
Description 1 online resource (xxiii, 74 pages) : illustrations (some color).
Item Number 10.1007/978-981-16-6768-8 doi
Call Number R859.7.A78
Dewey Decimal Classification 610.285/63
Summary This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an example--a truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services). In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed January 7, 2022).
Added Author Gaur, Loveleen, author.
Series SpringerBriefs in applied sciences and technology. Computational intelligence, 2625-3712
Available in Other Form Print version: 9789811667671
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Introduction to AI in Public Health
Open Public Health Issues
AI Solutions to Public Health Issues
AI in Sustainable Public Healthcare
AI in Precision Medicine
Societal Impact: AI in Public Health Issues
Case Studies - AI for Infectious Disease
Privacy, Security and Ethical Issues.

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