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RT Book, Whole SR Electronic DC OPAC T1 Artificial Intelligence and Machine Learning in Public Healthcare : Opportunities and Societal Impact / by KC Santosh, Loveleen Gaur T2 SpringerBriefs in Computational Intelligence. ISSN:26253712 A1 Santosh, KC A1 Gaur, Loveleen A1 SpringerLink (Online service) YR 2021 FD 2021 VO ebook SP XXIII, 74 p. 30 illus., 14 illus. in color K1 Computational intelligence K1 Artificial intelligence K1 Medical informatics K1 Machine learning K1 Public health K1 Computational Intelligence K1 Artificial Intelligence K1 Health Informatics K1 Machine Learning K1 Public Health ED 1st ed. 2021. PB Springer Nature Singapore : Imprint: Springer PP Singapore SN 9789811667688 LA English (英語) CL LCC:Q342 CL DC23:006.3 NO 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 NO 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 NO HTTP:URL=https://doi.org/10.1007/978-981-16-6768-8 NO 書誌ID=EB00001506; LK [E Book]https://doi.org/10.1007/978-981-16-6768-8 OL 30