Artificial Intelligence and Machine Learning in Public Healthcare : Opportunities and Societal Impact / by KC Santosh, Loveleen Gaur
(SpringerBriefs in Computational Intelligence. ISSN:26253712)
| データ種別 | 電子ブック |
|---|---|
| 版 | 1st ed. 2021. |
| 出版者 | (Singapore : Springer Nature Singapore : Imprint: Springer) |
| 出版年 | 2021 |
| 大きさ | XXIII, 74 p. 30 illus., 14 illus. in color : online resource |
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| 一般注記 | 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 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 HTTP:URL=https://doi.org/10.1007/978-981-16-6768-8 |
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| 著者標目 | *Santosh, KC author Gaur, Loveleen author SpringerLink (Online service) |
| 件 名 | LCSH:Computational intelligence LCSH:Artificial intelligence LCSH:Medical informatics LCSH:Machine learning LCSH:Public health FREE:Computational Intelligence FREE:Artificial Intelligence FREE:Health Informatics FREE:Machine Learning FREE:Public Health |
| 分 類 | LCC:Q342 DC23:006.3 |
| 巻冊次 | ebook ; ISBN:9789811667688 
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| ISBN | 9789811667688 |
| URL | https://doi.org/10.1007/978-981-16-6768-8 |
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※2021年9月12日以降