A Fall Risk Assessment Model for Community-Dwelling Elderly Individuals Based on Gait Parameters
Assessing fall risk accurately is vital for the older adult population. However, existing fall risk assessments mainly depend on scales, which are inconvenient, subjective, and imprecise. The aim of this study was to explore a machine learning model based on gait parameters to evaluate the risk of f...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10292861/ |