Construction of a Multi-Label Classifier for Extracting Multiple Incident Factors From Medication Incident Reports in Residential Care Facilities: Natural Language Processing Approach.
Hayato KizakiHiroki SatohSayaka EbaraSatoshi WatabeYasufumi SawadaShungo ImaiSatoko HoriPublished in: JMIR medical informatics (2024)
The multilabel classifier developed in our study demonstrated potential for identifying various factors associated with medication-related incidents using incident reports from residential care facilities. Thus, this classifier can facilitate prompt analysis of incident factors, thereby contributing to risk management and the development of preventive strategies.