Comparison of Fall Risk Prediction of Patients using Tree Algorithms implemented on a wearable belt
Author:
Affiliation:
1. Amrita School of Engineering,Department of Electrical and Electronics Engineering,Coimbatore Amrita Vishwa Vidyapeetham,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9951706/9951861/09951918.pdf?arnumber=9951918
Reference21 articles.
1. Quantitative falls risk assessment in elderly people: results from a clinical study with distance based timed up-and-go test recordings
2. Reliability and Validity of a Pediatric Fall Risk Assessment Scale for Hospitalized Patients in Taiwan
3. Development of a multivariable prognostic PREdiction model for 1-year risk of FALLing in a cohort of community-dwelling older adults aged 75 years and above (PREFALL)
4. A Mobile App (FallSA) to Identify Fall Risk Among Malaysian Community-Dwelling Older Persons: Development and Validation Study
5. Wearable Sensor and Machine Learning Model-Based Fall Detection System for Safety of Elders and Movement Disorders
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