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Artificial Intelligence and Big Data in Public Health

Artificial intelligence and automation are topics dominating global discussions on the future of professional employment, societal change, and economic performance. In this paper, we describe fundamental concepts underlying AI and Big Data and their significance to public health. We highlight issues...

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Detalles Bibliográficos
Autores principales: Benke, Kurt, Benke, Geza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313588/
https://www.ncbi.nlm.nih.gov/pubmed/30544648
http://dx.doi.org/10.3390/ijerph15122796
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author Benke, Kurt
Benke, Geza
author_facet Benke, Kurt
Benke, Geza
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description Artificial intelligence and automation are topics dominating global discussions on the future of professional employment, societal change, and economic performance. In this paper, we describe fundamental concepts underlying AI and Big Data and their significance to public health. We highlight issues involved and describe the potential impacts and challenges to medical professionals and diagnosticians. The possible benefits of advanced data analytics and machine learning are described in the context of recently reported research. Problems are identified and discussed with respect to ethical issues and the future roles of professionals and specialists in the age of artificial intelligence.
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spelling pubmed-63135882019-06-17 Artificial Intelligence and Big Data in Public Health Benke, Kurt Benke, Geza Int J Environ Res Public Health Commentary Artificial intelligence and automation are topics dominating global discussions on the future of professional employment, societal change, and economic performance. In this paper, we describe fundamental concepts underlying AI and Big Data and their significance to public health. We highlight issues involved and describe the potential impacts and challenges to medical professionals and diagnosticians. The possible benefits of advanced data analytics and machine learning are described in the context of recently reported research. Problems are identified and discussed with respect to ethical issues and the future roles of professionals and specialists in the age of artificial intelligence. MDPI 2018-12-10 2018-12 /pmc/articles/PMC6313588/ /pubmed/30544648 http://dx.doi.org/10.3390/ijerph15122796 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Commentary
Benke, Kurt
Benke, Geza
Artificial Intelligence and Big Data in Public Health
title Artificial Intelligence and Big Data in Public Health
title_full Artificial Intelligence and Big Data in Public Health
title_fullStr Artificial Intelligence and Big Data in Public Health
title_full_unstemmed Artificial Intelligence and Big Data in Public Health
title_short Artificial Intelligence and Big Data in Public Health
title_sort artificial intelligence and big data in public health
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313588/
https://www.ncbi.nlm.nih.gov/pubmed/30544648
http://dx.doi.org/10.3390/ijerph15122796
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