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

Formative Evaluation of Digital Health Interventions (2690) Clinical Information and Decision Making (1548) Natural Language Processing (764) Artificial Intelligence (1602) New Methods (1004)

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

Aline Gendrin   1 , PhD ;   Leonidas Souliotis   1 , PhD ;   James Loudon-Griffiths   1 , BSc ;   Ravisha Aggarwal   2 , MSc ;   Daniel Amoako   3 , MSc ;   Gregory Desouza   1 , BSc ;   Sashka Dimitrievska   4 , PhD ;   Paul Metcalfe   1 , PhD ;   Emilie Louvet   1 , PhD ;   Harpreet Sahni   3 , MSc

1 AstraZeneca, Cambridge, United Kingdom

2 AstraZeneca, Bangalore, India

3 AstraZeneca, Wilmington, DE, United States

4 AstraZeneca, Gaithersburg, MD, United States

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