This paper is in the following e-collection/theme issue:

Tools, Programs and Algorithms (266) New Methods (944) Pulmonology, COPD (143)

Published on in Vol 9, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18298, first published .
Automated Identification of Common Disease-Specific Outcomes for Comparative Effectiveness Research Using ClinicalTrials.gov: Algorithm Development and Validation Study

Automated Identification of Common Disease-Specific Outcomes for Comparative Effectiveness Research Using ClinicalTrials.gov: Algorithm Development and Validation Study

Automated Identification of Common Disease-Specific Outcomes for Comparative Effectiveness Research Using ClinicalTrials.gov: Algorithm Development and Validation Study

Authors of this article:

Anas Elghafari1 Author Orcid Image ;   Joseph Finkelstein1 Author Orcid Image
Article Authors Cited by (5) Tweetations (1) Metrics

Anas Elghafari   1 , MSc ;   Joseph Finkelstein   1 , MD, PhD

1 Center for Biomedical and Population Health Informatics, Icahn School of Medicine at Mount Sinai, New York, NY, United States

Corresponding Author:

  • Joseph Finkelstein, MD, PhD
  • Center for Biomedical and Population Health Informatics
  • Icahn School of Medicine at Mount Sinai
  • 1425 Madison Ave, Rm. L2-36
  • New York, NY, 10029
  • United States
  • Phone: 1 212-659-9596
  • Fax: 1 212-423-2998
  • Email: Joseph.Finkelstein@mssm.edu