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Tools, Programs and Algorithms (420) Clinical Informatics (1479) Natural Language Processing (988) Electronic Health Records (1406) Methods and Instruments in Medical Informatics (225) Ontologies, Classifications, and Coding (357) Machine Learning (2294) Pulmonology, COPD (214)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84326, first published .
Scalable Identification of Clinically Relevant Chronic Obstructive Pulmonary Disease Documents in Large-Scale Electronic Health Record Datasets With a Lightweight Natural Language Processing Model: Retrospective Cohort Study

Scalable Identification of Clinically Relevant Chronic Obstructive Pulmonary Disease Documents in Large-Scale Electronic Health Record Datasets With a Lightweight Natural Language Processing Model: Retrospective Cohort Study

Scalable Identification of Clinically Relevant Chronic Obstructive Pulmonary Disease Documents in Large-Scale Electronic Health Record Datasets With a Lightweight Natural Language Processing Model: Retrospective Cohort Study

Authors of this article:

Mohammed Al-Garadi1 Author Orcid Image ;   Sharon E Davis1 Author Orcid Image ;   Michael E Matheny1, 2, 3, 4 Author Orcid Image ;   Dax Westerman1 Author Orcid Image ;   Adrienne K Conger5 Author Orcid Image ;   Bradley W Richmond4, 5 Author Orcid Image ;   Thomas A Lasko1, 6 Author Orcid Image ;   Iben M Ricket7 Author Orcid Image ;   Laura M Paulin8 Author Orcid Image ;   Jeremiah R Brown7, 9 Author Orcid Image ;   Ruth M Reeves1, 4 Author Orcid Image
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