Relevance of sex, age and gait kinematics when predicting fall-risk and mortality in older adults

Volume: 105, Pages: 109723 - 109723
Published: May 1, 2020
Abstract
Approximately one-third of elderly people fall each year with severe consequences, including death. The aim of this study was to identify the most relevant features to be considered to maximize the accuracy of a logistic regression model designed for prediction of fall/mortality risk among older people. This study included 261 adults, aged over 65 years. Men and women were analyzed separately because sex stratification was revealed as being...
Paper Details
Title
Relevance of sex, age and gait kinematics when predicting fall-risk and mortality in older adults
Published Date
May 1, 2020
Volume
105
Pages
109723 - 109723
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