A machine learning approach to identify fall risk for older adults
Author:
Publisher
Elsevier BV
Subject
Health Information Management,Computer Science Applications,Health Informatics,Information Systems,Medicine (miscellaneous)
Reference27 articles.
1. Towards an accelerometer-based elderly fall detection system using cross-disciplinary time series features;Al Nahian;IEEE Access,2021
2. Frequency domain self-filtering for pattern detection;Bailey,1993
3. Fall detection and fall risk assessment in older person using wearable sensors: A systematic review;Bet;International Journal of Medical Informatics,2019
4. A screening tool with five risk factors was developed for fall-risk prediction in community-dwelling elderly;Bongue;Journal of Clinical Epidemiology,2011
5. Practical fall detection algorithm based on Adaboost;Cai,2019
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1. Fall risk prediction using temporal gait features and machine learning approaches;Frontiers in Artificial Intelligence;2024-08-28
2. Fall-risk assessment of aged workers using wearable inertial measurement units based on machine learning;Safety Science;2024-08
3. Machine Learning-Based Approach to Identifying Fall Risk in Seafarers Using Wearable Sensors;Journal of Marine Science and Engineering;2024-02-19
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