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

Hayato Kizaki   1 , MSc ;   Hiroki Satoh   2, 3 , PhD ;   Sayaka Ebara   1 , BSc ;   Satoshi Watabe   1 , BSc ;   Yasufumi Sawada   2 , PhD ;   Shungo Imai   1 , PhD ;   Satoko Hori   1 , PhD

1 Division of Drug Informatics, Keio University Faculty of Pharmacy, Tokyo, Japan

2 Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan

3 Interfaculty Initiative in Information Studies, The University of Tokyo, Tokyo, Japan

Corresponding Author:

  • Hayato Kizaki, MSc
  • Division of Drug Informatics
  • Keio University Faculty of Pharmacy
  • 1-5-30 Shibakoen
  • Minato-ku
  • Tokyo
  • Japan
  • Phone: 81 354002799
  • Fax: 81 354002799
  • Email: hayatokizaki625@keio.jp