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

Natural Language Processing (650) Machine Learning (1401) Secondary Use of Clinical Data for Research and Surveillance (326)

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 (4) Tweetations (2) Metrics

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  4. Miao B, Sushil M, Xu A, Wang M, Arneson D, Berkley E, Subash M, Vashisht R, Rudrapatna V, Butte A. Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing. The Lancet Digital Health 2024;6(3):e222 View