Fall risk classification with posturographic parameters in community-dwelling older adults: a machine learning and explainable artificial intelligence approach
Computerized posturography obtained in standing conditions has been applied to classify fall risk for older adults or disease groups. Combining machine learning (ML) approaches is superior to traditional regre...
Source: Journal of NeuroEngineering and Rehabilitation - Category: Rehabilitation Authors: Huey-Wen Liang, Rasoul Ameri, Shahab Band, Hsin-Shui Chen, Sung-Yu Ho, Bilal Zaidan, Kai-Chieh Chang and Arthur Chang Tags: Research Source Type: research
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