首页|Findings from Silesian University of Technology Broaden Understanding of Machine Learning (The Evolution of Frailty Assessment Using Inertial Measurement Sensor -based Gait Parameter Measurements: a Detailed Analysis)
Findings from Silesian University of Technology Broaden Understanding of Machine Learning (The Evolution of Frailty Assessment Using Inertial Measurement Sensor -based Gait Parameter Measurements: a Detailed Analysis)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting from Gliwice, Poland, by NewsRx journalists, research stated, “Frailty is a significant issue in geri atric health, may cause adverse effects such as falls, delirium, weight loss, or physical decline. Over time, various methods have been developed for measuring frailty, including clinical judgment, the frailty index, the clinical frailty sc ale, and the comprehensive geriatric assessment.”
GliwicePolandEuropeCyborgsEmerging TechnologiesMachine LearningTechnologySilesian University of Technology
NETL
NSTL
