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

Natural Language Processing (767) AI Language Models in Health Care (90) Big Data (273) Information Seeking, Information Needs (516) Machine Learning (1642) Methods and Instruments in Medical Informatics (160) New Technologies (91) Ontologies, Classifications, and Coding (257) Secondary Use of Clinical Data for Research and Surveillance (399) Tools, Programs and Algorithms (307)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68863, first published .
Performance Improvement of a Natural Language Processing Tool for Extracting Patient Narratives Related to Medical States From Japanese Pharmaceutical Care Records by Increasing the Amount of Training Data: Natural Language Processing Analysis and Validation Study

Performance Improvement of a Natural Language Processing Tool for Extracting Patient Narratives Related to Medical States From Japanese Pharmaceutical Care Records by Increasing the Amount of Training Data: Natural Language Processing Analysis and Validation Study

Performance Improvement of a Natural Language Processing Tool for Extracting Patient Narratives Related to Medical States From Japanese Pharmaceutical Care Records by Increasing the Amount of Training Data: Natural Language Processing Analysis and Validation Study

Authors of this article:

Yukiko Ohno1 Author Orcid Image ;   Tohru Aomori2 Author Orcid Image ;   Tomohiro Nishiyama3 Author Orcid Image ;   Riri Kato4 Author Orcid Image ;   Reina Fujiki5 Author Orcid Image ;   Haruki Ishikawa5 Author Orcid Image ;   Keisuke Kiyomiya4 Author Orcid Image ;   Minae Isawa4 Author Orcid Image ;   Mayumi Mochizuki4 Author Orcid Image ;   Eiji Aramaki3 Author Orcid Image ;   Hisakazu Ohtani1, 5, 6 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Yukiko Ohno   1 , BSc ;   Tohru Aomori   2 , PhD ;   Tomohiro Nishiyama   3 , MEng ;   Riri Kato   4 , BSc ;   Reina Fujiki   5 , BSc ;   Haruki Ishikawa   5 , MSc ;   Keisuke Kiyomiya   4 , PhD ;   Minae Isawa   4 , PhD ;   Mayumi Mochizuki   4 , PhD ;   Eiji Aramaki   3 , PhD ;   Hisakazu Ohtani   1, 5, 6 , PhD

1 Graduate School of Pharmaceutical Sciences, Keio University, Tokyo, Japan

2 Faculty of Pharmacy, Takasaki University of Health and Welfare, Takasaki, Japan

3 Nara Institute of Science and Technology, Ikoma, Japan

4 Faculty of Pharmacy, Keio University, Tokyo, Japan

5 Department of Pharmacy, Keio University Hospital, Tokyo, Japan

6 School of Medicine, Keio University, Tokyo, Japan

Corresponding Author:

  • Hisakazu Ohtani, PhD
  • Graduate School of Pharmaceutical Sciences
  • Keio University
  • 1-5-30, Shibakouen, Minato
  • Tokyo, 105-8512
  • Japan
  • Phone: 81 3-5400-2486
  • Email: ohtani@keio.jp