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Machine learning in population health: Opportunities and threats

Abraham D. Flaxman and Theo Vos of the Institute for Health Metrics and Evaluation, University of Washington, discuss near-term applications for ML in population health and name their priorities for ongoing ML development.

Detalles Bibliográficos
Autores principales: Flaxman, Abraham D., Vos, Theo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258474/
https://www.ncbi.nlm.nih.gov/pubmed/30481173
http://dx.doi.org/10.1371/journal.pmed.1002702
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author Flaxman, Abraham D.
Vos, Theo
author_facet Flaxman, Abraham D.
Vos, Theo
author_sort Flaxman, Abraham D.
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description Abraham D. Flaxman and Theo Vos of the Institute for Health Metrics and Evaluation, University of Washington, discuss near-term applications for ML in population health and name their priorities for ongoing ML development.
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spelling pubmed-62584742018-12-06 Machine learning in population health: Opportunities and threats Flaxman, Abraham D. Vos, Theo PLoS Med Perspective Abraham D. Flaxman and Theo Vos of the Institute for Health Metrics and Evaluation, University of Washington, discuss near-term applications for ML in population health and name their priorities for ongoing ML development. Public Library of Science 2018-11-27 /pmc/articles/PMC6258474/ /pubmed/30481173 http://dx.doi.org/10.1371/journal.pmed.1002702 Text en © 2018 Flaxman, Vos http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Perspective
Flaxman, Abraham D.
Vos, Theo
Machine learning in population health: Opportunities and threats
title Machine learning in population health: Opportunities and threats
title_full Machine learning in population health: Opportunities and threats
title_fullStr Machine learning in population health: Opportunities and threats
title_full_unstemmed Machine learning in population health: Opportunities and threats
title_short Machine learning in population health: Opportunities and threats
title_sort machine learning in population health: opportunities and threats
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258474/
https://www.ncbi.nlm.nih.gov/pubmed/30481173
http://dx.doi.org/10.1371/journal.pmed.1002702
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