Machine learning algorithms to predict depression in older adults in China: a cross-sectional study
ObjectiveThe 2-fold objective of this research is to investigate machine learning's (ML) predictive value for the incidence of depression among China's older adult population and to determine the noteworthy aspects resulting in depression.MethodsThis research selected 7,880 older adult peo...
Saved in:
Main Authors: | Yan Li Qing Song, Lin Chen, Haoqiang Liu, Yue Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Public Health |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1462387/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Association of loneliness with the risk of pain in older Chinese adults
by: Aijun Song, et al.
Published: (2025-02-01) -
Community social capital and depressive symptoms among older adults relocated for poverty alleviation in Shanxi, China: a cross-sectional study
by: Le Yang, et al.
Published: (2025-01-01) -
U-shaped association between sleep duration and frailty in Chinese older adults: a cross-sectional study
by: Yanliqing Song, et al.
Published: (2025-01-01) -
Association between remnant cholesterol and depression in middle-aged and older Chinese adults: a population-based cohort study
by: Yang Zhou, et al.
Published: (2025-02-01) -
Relationship between social activities and cognitive impairment in Chinese older adults: the mediating effect of depressive symptoms
by: Qianke Yang, et al.
Published: (2025-01-01)