The National Institutes of Health funding for clinical research applying machine learning techniques in 2017

Abstract Machine learning (ML) techniques have become ubiquitous and indispensable for solving intricate problems in most disciplines. To determine the extent of funding for clinical research projects applying ML techniques by the National Institutes of Health (NIH) in 2017, we searched the NIH Rese...

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Autores principales:	Amarnath R. Annapureddy, Suveen Angraal, Cesar Caraballo, Alyssa Grimshaw, Chenxi Huang, Bobak J. Mortazavi, Harlan M. Krumholz
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/5d663544ee95447093c353e2803ba34a
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spelling	oai:doaj.org-article:5d663544ee95447093c353e2803ba34a2021-12-02T14:28:20ZThe National Institutes of Health funding for clinical research applying machine learning techniques in 201710.1038/s41746-020-0223-92398-6352https://doaj.org/article/5d663544ee95447093c353e2803ba34a2020-01-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-0223-9https://doaj.org/toc/2398-6352Abstract Machine learning (ML) techniques have become ubiquitous and indispensable for solving intricate problems in most disciplines. To determine the extent of funding for clinical research projects applying ML techniques by the National Institutes of Health (NIH) in 2017, we searched the NIH Research Portfolio Online Reporting Tools Expenditures and Results (RePORTER) system using relevant keywords. We identified 535 projects, which together received a total of $264 million, accounting for 2% of the NIH extramural budget for clinical research.Amarnath R. AnnapureddySuveen AngraalCesar CaraballoAlyssa GrimshawChenxi HuangBobak J. MortazaviHarlan M. KrumholzNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-4 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Amarnath R. Annapureddy Suveen Angraal Cesar Caraballo Alyssa Grimshaw Chenxi Huang Bobak J. Mortazavi Harlan M. Krumholz The National Institutes of Health funding for clinical research applying machine learning techniques in 2017
description	Abstract Machine learning (ML) techniques have become ubiquitous and indispensable for solving intricate problems in most disciplines. To determine the extent of funding for clinical research projects applying ML techniques by the National Institutes of Health (NIH) in 2017, we searched the NIH Research Portfolio Online Reporting Tools Expenditures and Results (RePORTER) system using relevant keywords. We identified 535 projects, which together received a total of $264 million, accounting for 2% of the NIH extramural budget for clinical research.
format	article
author	Amarnath R. Annapureddy Suveen Angraal Cesar Caraballo Alyssa Grimshaw Chenxi Huang Bobak J. Mortazavi Harlan M. Krumholz
author_facet	Amarnath R. Annapureddy Suveen Angraal Cesar Caraballo Alyssa Grimshaw Chenxi Huang Bobak J. Mortazavi Harlan M. Krumholz
author_sort	Amarnath R. Annapureddy
title	The National Institutes of Health funding for clinical research applying machine learning techniques in 2017
title_short	The National Institutes of Health funding for clinical research applying machine learning techniques in 2017
title_full	The National Institutes of Health funding for clinical research applying machine learning techniques in 2017
title_fullStr	The National Institutes of Health funding for clinical research applying machine learning techniques in 2017
title_full_unstemmed	The National Institutes of Health funding for clinical research applying machine learning techniques in 2017
title_sort	national institutes of health funding for clinical research applying machine learning techniques in 2017
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/5d663544ee95447093c353e2803ba34a
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The National Institutes of Health funding for clinical research applying machine learning techniques in 2017

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