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August 28, 2024Frontiers in Artificial IntelligenceOpen Access

Fall risk prediction using temporal gait features and machine learning approaches

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Authors

ZLZhe LimTunku Abdul Rahman University of Management and TechnologyTCTee ConnieMultimedia UniversityMGMichael Kah Ong GohMultimedia University

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Lim et al. (2024) studied this question.

synapsesocial.com/papers/68e5a818b6db643587542696https://doi.org/10.3389/frai.2024.1425713
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The Identification of Elderly People with High Fall Risk Using Machine Learning Algorithms2022 · 5 citations
  2. 2Deep Learning for Fall Risk Assessment With Inertial Sensors: Utilizing Domain Knowledge in Spatio-Temporal Gait Parameters2019 · 133 citations
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  4. 4Accurate fall risk classification in elderly using one gait cycle data and machine learning2024 · 21 citations
  5. 5Deep Learning-Based Near-Fall Detection Algorithm for Fall Risk Monitoring System Using a Single Inertial Measurement Unit2022 · 116 citations