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

Artificial Intelligence (5145) Natural Language Processing (1365) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (291) Electronic Health Records (1819) Machine Learning (3402) Generative Language Models Including ChatGPT (1698) AI Language Models in Health Care (874)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86467, first published .
Pharmacist discusses medication with a patient in a pharmacy aisle.

Using Natural Language Processing to Identify Adverse Drug Events Characterized by Medication Replacement in Primary Care Electronic Medical Records: Algorithm and Validation Study

Using Natural Language Processing to Identify Adverse Drug Events Characterized by Medication Replacement in Primary Care Electronic Medical Records: Algorithm and Validation Study

Authors of this article:

Alan Katz1, 2 Author Orcid Image ;   Abhishek Dhankar1 Author Orcid Image ;   Gillian Fransoo1 Author Orcid Image ;   Diane Gordon Pappas1 Author Orcid Image ;   Amani F Hamad3 Author Orcid Image ;   Christine Leong4 Author Orcid Image ;   Alexander Singer2 Author Orcid Image
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Journals

  1. Huang P. Adaptive Suppression Algorithm for Communication Signal Clutter Interference under Integrated Sensing and Communication System. Journal of Big Data and Computing 2026;4(3):193 View