Predicting cognitive frailty in community-dwelling older adults: a machine learning approach based on multidomain risk factors
Abstract Cognitive frailty (CF), a clinical syndrome involving both physical frailty (PF) and impaired cognition (IC), is associated with adverse health outcomes in older adults. This study aimed to identify key predictors of CF and develop a machine learning-based model for CF risk assessment using...
Saved in:
| Main Authors: | Catherine Park, Namhee Kim, Chang Won Won, Miji Kim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-00844-3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The cost effectiveness of a multidomain intervention on physical, cognitive, vascular, dietary and psychosocial outcomes among community dwelling older adults with cognitive frailty in Malaysia: The AGELESS Trial
by: Pavapriya Ponvel, et al.
Published: (2025-05-01) -
A qualitative study on the impact and participation in the AGELESS multidomain intervention: Insights from older adults with cognitive frailty and their caregivers
by: Ying Qian Ong, et al.
Published: (2025-01-01) -
The association between stereoscopic vision and cognitive function on community-dwelling older adults: a cross-sectional study
by: Yeon Jung Park, et al.
Published: (2025-05-01) -
Advancing fall risk prediction in older adults with cognitive frailty: A machine learning approach using 2-year clinical data
by: Catherine Park, et al.
Published: (2025-01-01) -
Associations between reversible and potentially reversible cognitive frailty and falls in community-dwelling older adults in China: a longitudinal study
by: Xiaonuo Xu, et al.
Published: (2025-04-01)