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Physiology as a Lingua Franca for Clinical Machine Learning

Authors :
Gopal P. Sarma
Erik Reinertsen
Aaron Aguirre
Chris Anderson
Puneet Batra
Seung-Hoan Choi
Paolo Di Achille
Nathaniel Diamant
Patrick Ellinor
Connor Emdin
Akl C. Fahed
Samuel Friedman
Lia Harrington
Jennifer E. Ho
Amit V. Khera
Shaan Khurshid
Marcus Klarqvist
Steve Lubitz
Anthony Philippakis
James Pirruccello
Christopher Reeder
Collin Stultz
Brandon Westover
Source :
Patterns, Vol 1, Iss 2, Pp 100017- (2020)
Publication Year :
2020
Publisher :
Elsevier, 2020.

Abstract

The intersection of medicine and machine learning (ML) has the potential to transform healthcare. We describe how physiology, a foundational discipline of medical training and practice with a rich quantitative history, could serve as a starting point for the development of a common language between clinicians and ML experts, thereby accelerating real-world impact.

Subjects

Subjects :
Computer software
QA76.75-76.765

Details

Language :
English
ISSN :
26663899
Volume :
1
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Patterns
Publication Type :
Academic Journal
Accession number :
edsdoj.0bf30513d6bd4adc94cbedb8437cdb85
Document Type :
article
Full Text :
https://doi.org/10.1016/j.patter.2020.100017