Chih-Kuang Chen;Chun-Hsien Chen;Hsin-Yao Wang;Wan-Ying Lin
发明人:
Chih-Kuang Chen,Chun-Hsien Chen,Hsin-Yao Wang,Wan-Ying Lin
申请号：
US15870930
公开号：
US20190216368A1
申请日:
2018.01.13
申请国别(地区):
US
年份:
2019
代理人:
摘要：
A method of predicting daily living activities performance of a person with disabilities includes establishing a rehabilitation assessments panel based on a plurality of rehabilitation evaluation scales and laboratory data； evaluating a plurality of persons with disabilities by the rehabilitation assessments panel； entering assessment results and the corresponding activities of daily living (ADL) performance into a machine learning platform； utilizing variable selection methods to select a plurality of variables having optimal classification performance from the rehabilitation assessments panel； executing a machine learning algorithm to create an ADL prediction model based on the selected variables； evaluating a participant in terms of the rehabilitation assessments panel； and entering assessment results into the ADL prediction model for calculation, thereby obtaining a prediction result of future ADL performance for the participant.
