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

Journals

  1. Hegselmann S, Storck M, Gessner S, Neuhaus P, Varghese J, Bruland P, Meidt A, Mertens C, Riepenhausen S, Baier S, Stöcker B, Henke J, Schmidt C, Dugas M. Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse. BMC Medical Informatics and Decision Making 2021;21(1) View
  2. Shah-Mohammadi F, Finkelstein J. Addressing Semantic Variability in Clinical Outcome Reporting Using Large Language Models. BioMedInformatics 2024;4(4):2173 View