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

Adverse Drug Events Detection, Pharmacovigilance and Surveillance (156) Clinical Informatics (1022) AI Language Models in Health Care (58) Computer-Aided Diagnosis (128) Computerized Provider Order Entry (CPOE) (23) Electronic Health Records (1053) Natural Language Processing (692) Secondary Use of Clinical Data for Research and Surveillance (366) Machine Learning (1465)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58141, first published .
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

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
Article Authors Cited by Tweetations Metrics

There are no citations yet available for this article according to Crossref .