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...

Descripción completa

Detalles Bibliográficos
Autores principales: Annapureddy, Amarnath R., Angraal, Suveen, Caraballo, Cesar, Grimshaw, Alyssa, Huang, Chenxi, Mortazavi, Bobak J., Krumholz, Harlan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Brief Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994580/
https://www.ncbi.nlm.nih.gov/pubmed/32025574
http://dx.doi.org/10.1038/s41746-020-0223-9
Descripción
Sumario: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.

Ejemplares similares