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

Applications of AI (1019) Natural Language Processing (1311) Electronic Health Records (1753) Substance Abuse (669) Opioid and Related Substance Misuse (241)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63147, first published .
Hospital bed with vital signs monitor displaying heart rate and ECG.

Natural Language Processing for Identification of Hospitalized People Who Use Drugs: Cohort Study

Natural Language Processing for Identification of Hospitalized People Who Use Drugs: Cohort Study

Authors of this article:

Taisuke Sato1 Author Orcid Image ;   Emily D Grussing1 Author Orcid Image ;   Ruchi Patel1 Author Orcid Image ;   Jessica Ridgway2 Author Orcid Image ;   Joji Suzuki3 Author Orcid Image ;   Benjamin Sweigart1 Author Orcid Image ;   Robert Miller1 Author Orcid Image ;   Alysse G Wurcel1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Wyse R, Samuels D, Sanchez-Roige S, Schirle L, Rhoten B, Lee S, Jeffery A. Natural Language Processing for Substance Use Disorder Information Extraction: A Systematic Literature Review. Current Addiction Reports 2026;13(1) View
  2. Razzano A. Artificial Intelligence and Machine Learning for Identifying Social Determinants of Health in Low‐Income Populations Within United States Health Systems: A Scoping Review. Health Science Reports 2026;9(9) View