Accessibility settings

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

Natural Language Processing (1346) Electronic Health Records (1803) Technology in Physiotherapy (308) Secondary Use of Clinical Data for Research and Surveillance (665) Generative Language Models Including ChatGPT (1656) AI Language Models in Health Care (847)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/100624, first published .
AI analyzing patient data for rehabilitation and improved healthcare outcomes

Estimating Functional Independence Measure Scores From Japanese Rehabilitation Notes Using a Large Language Model: Retrospective Study

Estimating Functional Independence Measure Scores From Japanese Rehabilitation Notes Using a Large Language Model: Retrospective Study

Authors of this article:

Tomohiro Nishiyama1 Author Orcid Image ;   Yudai Mine1 Author Orcid Image ;   Norihide Itoh2, 3 Author Orcid Image ;   Tatsuyoshi Ikenoue4 Author Orcid Image ;   Keima Nagasaka2 Author Orcid Image ;   Naoko Matsuo2 Author Orcid Image ;   Onishi Tatsuki5 Author Orcid Image ;   Eiji Aramaki1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Tomohiro Nishiyama   1 , PhD ;   Yudai Mine   1 , MEng ;   Norihide Itoh   2, 3 , PhD ;   Tatsuyoshi Ikenoue   4 , PhD ;   Keima Nagasaka   2 , PT ;   Naoko Matsuo   2 , PT ;   Onishi Tatsuki   5 , PhD ;   Eiji Aramaki   1 , PhD

1 Division of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan

2 Department of Rehabilitation Medicine, Saiseikai Moriyama Municipal Hospital, Moriyama, Shiga, Japan

3 Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan

4 Department of Public Health, Faculty of Medicine, University of Miyazaki, Miyazaki, Miyazaki, Japan

5 Faculty of Data Science, Shiga University, Hikone, Shiga, Japan

Corresponding Author:

  • Eiji Aramaki, PhD
  • Division of Information Science
  • Nara Institute of Science and Technology
  • 8916-5, Takayamacho
  • Ikoma, Nara 630-0192
  • Japan
  • Phone: 81 743-72-5250
  • Email: aramaki@is.naist.jp