[2N5-J-13] AI application: medicine and healthcare

[2N5-J-13-01] Fall Risk Evaluation Using Mahalanobis Distance and Factor Analysis

〇Takao Naito^1,2, Masato Kobe¹, Makoto Kunigoh¹, Kotaro Yamasue², Osamu Tochikubo ², Yoshihiro Ishikawa², Hiroshi Takeda³ (1. Fuji Xerox, 2. Yokohama City University, 3. Osaka University)

Keywords:Mahalanobis Distance, Factor Analysis, Falls, Elderly

The purpose of this paper is to estimate people with a high risk of falls and to contribute to fall prevention by clarifying their potential factors. As a result, 6 elderly people with high risk of falling among 98 female participates were extracted using Mahalanobis distance, and 4 out of the 6 elderly people had experienced falls or nearly falls. Furthermore, we extracted 5 factors related to the balance of lower limb muscle strength, the neuromodulation function and so on using factor analysis.