Open AccessPredicting Sarcopenia of Female Elderly from Physical Activity Performance Measurement Using Machine Learning Classifiers
Author(s) -
Jeong Bae Ko,
Kwang Bok Kim,
Young Sub Shin,
HyeJung Han,
Sang Kuy Han,
Duk Young Jung,
Jae Soo Hong
Publication year - 2021
Publication title -
clinical interventions in aging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.184
H-Index - 76
eISSN - 1178-1998
pISSN - 1176-9092
DOI - 10.2147/cia.s323761
Subject(s) - sarcopenia , medicine , physical activity , machine learning , physical medicine and rehabilitation , artificial intelligence , gerontology , computer science
Sarcopenia is a symptom in which muscle mass decreases due to decreasing in the number of muscle fibers and muscle cross-sectional area as aging. This study aimed to develop a machine learning classification model for predicting sarcopenia through a inertial measurement unit (IMU)-based physical performance measurement data of female elderly.