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

Formative Evaluation of Digital Health Interventions (2872) Clinical Information and Decision Making (1695) Natural Language Processing (812) Artificial Intelligence (1786) New Methods (1037)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44876, first published .
Identifying Patient Populations in Texts Describing Drug Approvals Through Deep Learning–Based Information Extraction: Development of a Natural Language Processing Algorithm

Identifying Patient Populations in Texts Describing Drug Approvals Through Deep Learning–Based Information Extraction: Development of a Natural Language Processing Algorithm

Identifying Patient Populations in Texts Describing Drug Approvals Through Deep Learning–Based Information Extraction: Development of a Natural Language Processing Algorithm

Authors of this article:

Aline Gendrin1 Author Orcid Image ;   Leonidas Souliotis1 Author Orcid Image ;   James Loudon-Griffiths1 Author Orcid Image ;   Ravisha Aggarwal2 Author Orcid Image ;   Daniel Amoako3 Author Orcid Image ;   Gregory Desouza1 Author Orcid Image ;   Sashka Dimitrievska4 Author Orcid Image ;   Paul Metcalfe1 Author Orcid Image ;   Emilie Louvet1 Author Orcid Image ;   Harpreet Sahni3 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

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