Development and multi-cohort validation of a machine learning-based simplified frailty assessment tool for clinical risk prediction
Abstract Background Frailty significantly impacts health outcomes in aging populations, yet its routine assessment remains challenging due to the complexity and time-consuming nature of existing tools. This study aimed to develop and validate a clinically feasible, machine learning-based frailty ass...
Saved in:
| Main Authors: | Jiahui Lai, Cailian Cheng, Tiantian Liang, Leile Tang, Xinhua Guo, Xun Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-08-01
|
| Series: | Journal of Translational Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12967-025-06728-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Measuring Frailty Using Self‐Report or Automated Tools to Identify Risk of Cardiovascular Events and Mortality: The Million Veteran Program
by: Saadia Qazi, et al.
Published: (2024-08-01) -
Orthopedic frailty risk stratification (OFRS): a systematic review of the frailty indices predicting adverse outcomes in orthopedics
by: Nithin K. Gupta, et al.
Published: (2025-03-01) -
The Hospital Frailty Risk Score as a Predictor of Mortality, Complications, and Resource Utilization in Heart Failure: Implications for Managing Critically Ill Patients
by: Nahush Bansal, et al.
Published: (2025-03-01) -
Prognostic value of frailty across age groups in emergency department patients aged 65 and above
by: Yunhyung Choi, et al.
Published: (2025-07-01) -
Associations between Life’s Essential Eight cardiovascular health metrics and cardiovascular mortality risk across frailty statuses: evidence from a UK Biobank cohort study
by: Lirong Chai, et al.
Published: (2025-05-01)