[1M5-GS-10] AI application

[1M5-GS-10-03] Automatic extraction of PBPUs from Movement analysis text using rule-based methods

〇Rikisuke Ichii¹, Mitsunori Matsushita¹, Hirofumi Hori² (1. Kansai University, 2. Biwako Professional University of Rehabilitation)

Keywords:physical therapist education, practical knowledge, movement analysis text

Movement analysis is an essential examination in planning physiotherapy. During this examination, the physiotherapist evaluates the patient's condition based on their experience and describes the test results as text. The text describing the examination outcome contains practical knowledge based on experience. Extracting and relating such knowledge to each other will help ensure objectivity and share best practices, thereby assisting physiotherapists in conducting movement analysis. However, these texts often contain linguistic and semantic ambiguities, making it difficult to extract knowledge uniformly by computer. A previous study defined the smallest unit of knowledge that constitutes physiotherapy (PBPU; Problem-Based Physiotherapy Unit). It contributes to organizing the movement analysis texts logically; however, extracting PBPUs from the text requires enormous work time. In this study, we attempted to extract PBPUs using a rule-based method to address the issue. As a result, we demonstrated that about half of the PBPUs can be automatically extracted.