This paper is in the following e-collection/theme issue:

Foundations of AI (47) Artificial Intelligence (1421) Applications of AI (104)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44185, first published .
Identifying Frailty in Older Adults Receiving Home Care Assessment Using Machine Learning: Longitudinal Observational Study on the Role of Classifier, Feature Selection, and Sample Size

Identifying Frailty in Older Adults Receiving Home Care Assessment Using Machine Learning: Longitudinal Observational Study on the Role of Classifier, Feature Selection, and Sample Size

Identifying Frailty in Older Adults Receiving Home Care Assessment Using Machine Learning: Longitudinal Observational Study on the Role of Classifier, Feature Selection, and Sample Size

Authors of this article:

Cheng Pan1 Author Orcid Image ;   Hao Luo2 Author Orcid Image ;   Gary Cheung3 Author Orcid Image ;   Huiquan Zhou2 Author Orcid Image ;   Reynold Cheng1 Author Orcid Image ;   Sarah Cullum3 Author Orcid Image ;   Chuan Wu1 Author Orcid Image
Article Authors Cited by Tweetations (4) Metrics

Cheng Pan   1 , MPhil ;   Hao Luo   2 , PhD ;   Gary Cheung   3 , PhD ;   Huiquan Zhou   2 , PhD ;   Reynold Cheng   1 , PhD ;   Sarah Cullum   3 , PhD ;   Chuan Wu   1 , PhD

1 Department of Computer Science, The University of Hong Kong, Hong Kong, China (Hong Kong)

2 Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China (Hong Kong)

3 Department of Psychological Medicine, School of Medicine, The University of Auckland, Auckland, New Zealand

Corresponding Author:

  • Hao Luo, PhD
  • Department of Social Work and Social Administration
  • The University of Hong Kong
  • CJT 521, Jockey Club Tower
  • Pokfulam Road
  • Hong Kong
  • China (Hong Kong)
  • Phone: 852 68421252
  • Email: haoluo@hku.hk