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

Meaney, Christopher; Escobar, Michael; Stukel, Therese A; Austin, Peter C; Jaakkimainen, Liisa

Meaney, Christopher; Escobar, Michael; Stukel, Therese A; Austin, Peter C; Jaakkimainen, Liisa.

Afiliação

Meaney C; Dalla Lana School of Public Health, Division of Biostatistics, University of Toronto, Toronto, ON, Canada.
Escobar M; Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada.
Stukel TA; Dalla Lana School of Public Health, Division of Biostatistics, University of Toronto, Toronto, ON, Canada.
Austin PC; ICES, Toronto, ON, Canada.
Jaakkimainen L; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.

JMIR Med Inform ; 10(12): e40102, 2022 Dec 19.

Article em En | MEDLINE | ID: mdl-36534443

Palavras-chave

BERTopic; clinical text data; latent Dirichlet allocation; nonnegative matrix factorization; structural topic model; temporal topic model; text mining

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: JMIR Med Inform Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá

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