Artificial intelligence and machine learning in public healthcare: opportunities and societal impact
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 Issu...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Singapore
Springer
[2021]
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Schriftenreihe: | SpringerBriefs in applied sciences and technology. Computational intelligence
SpringerBriefs in applied sciences and technology SpringerBriefs in computational intelligence |
Schlagworte: | |
Online-Zugang: | FHM01 FKE01 FWS01 FWS02 UBT01 UBY01 UEI01 UPA01 Volltext |
Zusammenfassung: | 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 |
Beschreibung: | 1 Online-Ressource (xxiii, 74 Seiten) Illustrationen, Diagramme |
ISBN: | 9789811667688 |
ISSN: | 2191-5318 2625-3712 |
DOI: | 10.1007/978-981-16-6768-8 |
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discipline | Informatik |
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index_date | 2024-07-03T19:04:30Z |
indexdate | 2024-08-01T16:15:41Z |
institution | BVB |
isbn | 9789811667688 |
issn | 2191-5318 2625-3712 |
language | English |
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series2 | SpringerBriefs in applied sciences and technology. Computational intelligence SpringerBriefs in applied sciences and technology SpringerBriefs in computational intelligence |
spellingShingle | Santosh, K. C. Gaur, Loveleen Artificial intelligence and machine learning in public healthcare opportunities and societal impact Nachhaltigkeit (DE-588)4326464-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Gesundheitswesen (DE-588)4020775-4 gnd Medizintechnik (DE-588)4074676-8 gnd Medizinsoziologie (DE-588)4038289-8 gnd |
subject_GND | (DE-588)4326464-5 (DE-588)4033447-8 (DE-588)4020775-4 (DE-588)4074676-8 (DE-588)4038289-8 |
title | Artificial intelligence and machine learning in public healthcare opportunities and societal impact |
title_auth | Artificial intelligence and machine learning in public healthcare opportunities and societal impact |
title_exact_search | Artificial intelligence and machine learning in public healthcare opportunities and societal impact |
title_exact_search_txtP | Artificial intelligence and machine learning in public healthcare opportunities and societal impact |
title_full | Artificial intelligence and machine learning in public healthcare opportunities and societal impact KC Santosh, Loveleen Gaur |
title_fullStr | Artificial intelligence and machine learning in public healthcare opportunities and societal impact KC Santosh, Loveleen Gaur |
title_full_unstemmed | Artificial intelligence and machine learning in public healthcare opportunities and societal impact KC Santosh, Loveleen Gaur |
title_short | Artificial intelligence and machine learning in public healthcare |
title_sort | artificial intelligence and machine learning in public healthcare opportunities and societal impact |
title_sub | opportunities and societal impact |
topic | Nachhaltigkeit (DE-588)4326464-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Gesundheitswesen (DE-588)4020775-4 gnd Medizintechnik (DE-588)4074676-8 gnd Medizinsoziologie (DE-588)4038289-8 gnd |
topic_facet | Nachhaltigkeit Künstliche Intelligenz Gesundheitswesen Medizintechnik Medizinsoziologie |
url | https://doi.org/10.1007/978-981-16-6768-8 |
work_keys_str_mv | AT santoshkc artificialintelligenceandmachinelearninginpublichealthcareopportunitiesandsocietalimpact AT gaurloveleen artificialintelligenceandmachinelearninginpublichealthcareopportunitiesandsocietalimpact |