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Intersections of machine learning and epidemiological methods for health services research
The field of health services research is broad and seeks to answer questions about the health care system. It is inherently interdisciplinary, and epidemiologists have made crucial contributions. Parametric regression techniques remain standard practice in health services research with machine learn...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825941/ https://www.ncbi.nlm.nih.gov/pubmed/32236476 http://dx.doi.org/10.1093/ije/dyaa035 |
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author | Rose, Sherri |
author_facet | Rose, Sherri |
author_sort | Rose, Sherri |
collection | PubMed |
description | The field of health services research is broad and seeks to answer questions about the health care system. It is inherently interdisciplinary, and epidemiologists have made crucial contributions. Parametric regression techniques remain standard practice in health services research with machine learning techniques currently having low penetrance in comparison. However, studies in several prominent areas, including health care spending, outcomes and quality, have begun deploying machine learning tools for these applications. Nevertheless, major advances in epidemiological methods are also as yet underleveraged in health services research. This article summarizes the current state of machine learning in key areas of health services research, and discusses important future directions at the intersection of machine learning and epidemiological methods for health services research. |
format | Online Article Text |
id | pubmed-7825941 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-78259412021-03-11 Intersections of machine learning and epidemiological methods for health services research Rose, Sherri Int J Epidemiol Opinion The field of health services research is broad and seeks to answer questions about the health care system. It is inherently interdisciplinary, and epidemiologists have made crucial contributions. Parametric regression techniques remain standard practice in health services research with machine learning techniques currently having low penetrance in comparison. However, studies in several prominent areas, including health care spending, outcomes and quality, have begun deploying machine learning tools for these applications. Nevertheless, major advances in epidemiological methods are also as yet underleveraged in health services research. This article summarizes the current state of machine learning in key areas of health services research, and discusses important future directions at the intersection of machine learning and epidemiological methods for health services research. Oxford University Press 2020-04-01 /pmc/articles/PMC7825941/ /pubmed/32236476 http://dx.doi.org/10.1093/ije/dyaa035 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the International Epidemiological Association. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Opinion Rose, Sherri Intersections of machine learning and epidemiological methods for health services research |
title | Intersections of machine learning and epidemiological methods for health services research |
title_full | Intersections of machine learning and epidemiological methods for health services research |
title_fullStr | Intersections of machine learning and epidemiological methods for health services research |
title_full_unstemmed | Intersections of machine learning and epidemiological methods for health services research |
title_short | Intersections of machine learning and epidemiological methods for health services research |
title_sort | intersections of machine learning and epidemiological methods for health services research |
topic | Opinion |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825941/ https://www.ncbi.nlm.nih.gov/pubmed/32236476 http://dx.doi.org/10.1093/ije/dyaa035 |
work_keys_str_mv | AT rosesherri intersectionsofmachinelearningandepidemiologicalmethodsforhealthservicesresearch |