Published on in Vol 20, No 6 (2018): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10281, first published .
A Deep Learning Method to Automatically Identify Reports of Scientifically Rigorous Clinical Research from the Biomedical Literature: Comparative Analytic Study

A Deep Learning Method to Automatically Identify Reports of Scientifically Rigorous Clinical Research from the Biomedical Literature: Comparative Analytic Study

A Deep Learning Method to Automatically Identify Reports of Scientifically Rigorous Clinical Research from the Biomedical Literature: Comparative Analytic Study

Guilherme Del Fiol   1 * , MD, PhD ;   Matthew Michelson   2, 3 * , PhD ;   Alfonso Iorio   4, 5 , MD, PhD ;   Chris Cotoi   6 , BEng, EMBA ;   R Brian Haynes   4, 5 , MD, PhD

1 University of Utah, Department of Biomedical Informatics, Salt Lake City, UT, United States

2 Evid Science, Los Angeles, CA, United States

3 InferLink Corporation, Los Angeles, CA, United States

4 Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada

5 Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada

6 Health Information Research Unit, McMaster University, Hamilton, ON, Canada

*these authors contributed equally

Corresponding Author:

  • Guilherme Del Fiol, MD, PhD
  • University of Utah
  • Department of Biomedical Informatics
  • 421 Wakara Way
  • Suite 140
  • Salt Lake City, UT, 84108
  • United States
  • Phone: 1 8015814080
  • Email: guilherme.delfiol@utah.edu