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

Natural Language Processing (893) Machine Learning (2032) Secondary Use of Clinical Data for Research and Surveillance (466)

Published on in Vol 10, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40102, first published .
Comparison of Methods for Estimating Temporal Topic Models From Primary Care Clinical Text Data: Retrospective Closed Cohort Study

Comparison of Methods for Estimating Temporal Topic Models From Primary Care Clinical Text Data: Retrospective Closed Cohort Study

Comparison of Methods for Estimating Temporal Topic Models From Primary Care Clinical Text Data: Retrospective Closed Cohort Study

Authors of this article:

Christopher Meaney1, 2 Author Orcid Image ;   Michael Escobar1 Author Orcid Image ;   Therese A Stukel3, 4 Author Orcid Image ;   Peter C Austin3, 4 Author Orcid Image ;   Liisa Jaakkimainen2, 3, 4 Author Orcid Image
Article Authors Cited by (14) Tweetations (2) Metrics

Christopher Meaney   1, 2 , MSc ;   Michael Escobar   1 , PhD ;   Therese A Stukel   3, 4 , PhD ;   Peter C Austin   3, 4 , PhD ;   Liisa Jaakkimainen   2, 3, 4 , MSc, MD

1 Dalla Lana School of Public Health, Division of Biostatistics, University of Toronto, Toronto, ON, Canada

2 Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada

3 ICES, Toronto, ON, Canada

4 Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada

Corresponding Author:

  • Christopher Meaney, MSc
  • Dalla Lana School of Public Health, Division of Biostatistics
  • University of Toronto
  • 155 College Street
  • Toronto, ON M5G1V7
  • Canada
  • Phone: 1 4169785602
  • Email: christopher.meaney@utoronto.ca