Using Natural Language Processing to Identify Adverse Drug Events Characterized by Medication Replacement in Primary Care Electronic Medical Records: Algorithm and Validation Study.
- DOI
- 10.2196/86467
- Published
- 2026 Aug 10
- Container
- Journal of medical Internet research
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.2196/86467,
title = {Using Natural Language Processing to Identify Adverse Drug Events Characterized by Medication Replacement in Primary Care Electronic Medical Records: Algorithm and Validation Study.},
author = {Katz A and Dhankar A and Fransoo G and Gordon Pappas D and Hamad AF and Leong C and Singer A},
year = {2026},
journal = {Journal of medical Internet research},
doi = {10.2196/86467},
url = {https://doi.org/10.2196/86467}
}RIS
TY - JOUR TI - Using Natural Language Processing to Identify Adverse Drug Events Characterized by Medication Replacement in Primary Care Electronic Medical Records: Algorithm and Validation Study. AU - Katz A AU - Dhankar A AU - Fransoo G AU - Gordon Pappas D AU - Hamad AF AU - Leong C AU - Singer A PY - 2026 JO - Journal of medical Internet research DO - 10.2196/86467 UR - https://doi.org/10.2196/86467 ER -
APA
A, K., A, D., G, F., D, G. P., AF, H., C, L., & A, S. (2026). Using Natural Language Processing to Identify Adverse Drug Events Characterized by Medication Replacement in Primary Care Electronic Medical Records: Algorithm and Validation Study.. Journal of medical Internet research. https://doi.org/10.2196/86467
Source records
- pubmed · retrieved 2026-09-25T04:22:49.820Z