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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 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.

SUBMITTER: Annapureddy AR 

PROVIDER: S-EPMC6994580 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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

Annapureddy Amarnath R AR   Angraal Suveen S   Caraballo Cesar C   Grimshaw Alyssa A   Huang Chenxi C   Mortazavi Bobak J BJ   Krumholz Harlan M HM  

NPJ digital medicine 20200131


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 N  ...[more]

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