Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46267, first published .
Comparing Natural Language Processing and Structured Medical Data to Develop a Computable Phenotype for Patients Hospitalized Due to COVID-19: Retrospective Analysis

Comparing Natural Language Processing and Structured Medical Data to Develop a Computable Phenotype for Patients Hospitalized Due to COVID-19: Retrospective Analysis

Comparing Natural Language Processing and Structured Medical Data to Develop a Computable Phenotype for Patients Hospitalized Due to COVID-19: Retrospective Analysis

Feier Chang   1 * , BA, MB ;   Jay Krishnan   2 * , MD ;   Jillian H Hurst   3 , PhD ;   Michael E Yarrington   2 , MD ;   Deverick J Anderson   2 , MD ;   Emily C O'Brien   4, 5 , PhD ;   Benjamin A Goldstein   1, 3, 4, 5 , PhD

1 Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, United States

2 Department of Medicine, Duke University, Durham, NC, United States

3 Department of Pediatrics, Duke University, Durham, NC, United States

4 Department of Population Health Sciences, Duke University, Durham, NC, United States

5 Duke Clinical Research Institute, Duke University, Durham, NC, United States

*these authors contributed equally

Corresponding Author:

  • Benjamin A Goldstein, PhD
  • Department of Biostatistics and Bioinformatics
  • Duke University
  • 2424 Erwin Rd
  • Durham, NC, 27705
  • United States
  • Phone: 1 9196815011
  • Email: ben.goldstein@duke.edu