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

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The National Institutes of Health funding for clinical research applying machine learning techniques in 2017.
npj Digital Medicine ( IF 12.4 ) Pub Date : 2020-01-31 , DOI: 10.1038/s41746-020-0223-9
Amarnath R Annapureddy _{1,

2} , Suveen Angraal _{1,

3} , Cesar Caraballo ₁ , Alyssa Grimshaw ₄ , Chenxi Huang ₁ , Bobak J Mortazavi ₅ , Harlan M Krumholz _{1,

2,

6}

Affiliation

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.

中文翻译：

美国国立卫生研究院 (National Institutes of Health) 资助 2017 年应用机器学习技术的临床研究。

机器学习 (ML) 技术已经变得无处不在，对于解决大多数学科中的复杂问题来说不可或缺。为了确定 2017 年美国国立卫生研究院 (NIH) 对应用机器学习技术的临床研究项目的资助程度，我们使用相关关键词搜索了 NIH 研究组合在线报告工具支出和结果 (RePORTER) 系统。我们确定了 535 个项目，总共获得了 2.64 亿美元，占 NIH 临床研究外部预算的 2%。

更新日期：2020-01-31

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