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

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 Port...

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Bibliographic Details
Published in:NPJ digital medicine 2020-01, Vol.3 (1), p.13
Main Authors: Annapureddy, Amarnath R, Angraal, Suveen, Caraballo, Cesar, Grimshaw, Alyssa, Huang, Chenxi, Mortazavi, Bobak J, Krumholz, Harlan M
Format: Article
Language:English
Online Access:Get full text
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Summary: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.
ISSN:2398-6352
DOI:10.1038/s41746-020-0223-9