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Viewpoint (18) Machine Learning (1001) Decision Support for Health Professionals (734)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33970, first published .
Open-Source Clinical Machine Learning Models: Critical Appraisal of Feasibility, Advantages, and Challenges

Open-Source Clinical Machine Learning Models: Critical Appraisal of Feasibility, Advantages, and Challenges

Open-Source Clinical Machine Learning Models: Critical Appraisal of Feasibility, Advantages, and Challenges

Authors of this article:

Keerthi B Harish 1 Author Orcid Image ;   W Nicholson Price 2, 3 Author Orcid Image ;   Yindalon Aphinyanaphongs 1 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics
Keerthi B Harish 1 , BA ;   W Nicholson Price 2, 3 , JD ;   Yindalon Aphinyanaphongs 1 , MD, PhD

1 Grossman School of Medicine , New York University , New York , NY , US

2 Law School , University of Michigan , Ann Arbor , MI , US

3 Centre for Advanced Studies In Biomedical Innovation Law , University of Copenhagen , Copenhagen , DK

Corresponding Author:

  • Yindalon Aphinyanaphongs, MD, PhD
  • Grossman School of Medicine
  • New York University
  • 227 East 30th St, 6th Floor
  • New York, NY
  • US
  • Phone: 1 212-263-9041
  • Email: yin.a@nyulangone.org