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

Adverse Drug Events Detection, Pharmacovigilance and Surveillance (280) Clinical Informatics (2363) Natural Language Processing (1320) Electronic Health Records (1772) Computerized Provider Order Entry (CPOE) (33) Secondary Use of Clinical Data for Research and Surveillance (649) Machine Learning (3303) Computer-Aided Diagnosis (435) AI Language Models in Health Care (802)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58141, first published .
Nurse gives pills and water to elderly man in wheelchair, woman stands nearby.

Construction of a Multi-Label Classifier for Extracting Multiple Incident Factors From Medication Incident Reports in Residential Care Facilities: Natural Language Processing Approach

Construction of a Multi-Label Classifier for Extracting Multiple Incident Factors From Medication Incident Reports in Residential Care Facilities: Natural Language Processing Approach

Authors of this article:

Hayato Kizaki1 Author Orcid Image ;   Hiroki Satoh2, 3 Author Orcid Image ;   Sayaka Ebara1 Author Orcid Image ;   Satoshi Watabe1 Author Orcid Image ;   Yasufumi Sawada2 Author Orcid Image ;   Shungo Imai1 Author Orcid Image ;   Satoko Hori1 Author Orcid Image
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Journals

  1. Kusnadi G, Wangge G, Perdana A. Artificial intelligence and computational methods in the Asia-Pacific pharmacovigilance landscape: a systematic review. International Journal of Public Health 2026;71 View