Frailty in older adults patients: a prospective observational cohort study on subtype identification
This study identifies two frailty subtypes in a hospital setting using unsupervised machine learning, demonstrating significant differences in survival outcomes. Clinical Trial registration ChiCTR1800017204; date of reqistration: 07/18/2018.
Authors
- Di Guo (ORCID: https://orcid.org/0000-0003-2783-4809)
- Lingling Cui (ORCID: https://orcid.org/0000-0003-1367-5851)
- Chen Ji (ORCID: https://orcid.org/0000-0003-4919-3299)
- Hua Wang (ORCID: https://orcid.org/0000-0002-1030-1742)
- Zhikai Yang (ORCID: https://orcid.org/0009-0009-1208-1366)
- Wei He (ORCID: https://orcid.org/0000-0002-8796-7147)
- Min Zeng (ORCID: https://orcid.org/0000-0002-8843-334X)
- Ting Wang (ORCID: https://orcid.org/0009-0005-2119-665X)
- Yuhao Wan (ORCID: https://orcid.org/0009-0007-3049-8355)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-04-28
- DOI
- https://doi.org/10.1186/s40001-025-02450-5
- Primary Topic
- Frailty in Older Adults
- Type
- article
- Field-Weighted Citation Impact
- 0.00