Machine Learning Approach for Frailty Detection in Long-Term Care Using Accelerometer-Measured Gait and Daily Physical Activity: Model Development and Validation Study
Machine Learning Approach for Frailty Detection in Long-Term Care Using Accelerometer-Measured Gait and Daily Physical Activity: Model Development and Validation Study
Xiaoping Zheng
1
* , PhD ;
Ziwei Zeng
1
* , MSc ;
Kimberley S van Schooten
2, 3
, PhD ;
Yijian Yang
1, 4
, MD, PhD
1
Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong)
2
Neuroscience Research Australia, University of New South Wales, Sydney, Australia
3
School of Population Health, University of New South Wales, Sydney, Australia
4
CUHK Jockey Club Institute of Ageing, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong)
*these authors contributed equally
Corresponding Author:
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Yijian Yang, MD, PhD
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Department of Sports Science and Physical Education
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The Chinese University of Hong Kong
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G07 Kwok Sports Building. University Ave. The Chinese University of Hong Kong. N.T.
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Hong Kong
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China (Hong Kong)
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Phone:
852 39434001
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Fax: 852 26035781
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Email: yyang@cuhk.edu.hk