Construction of disability risk prediction model for the elderly based on machine learning
Abstract The study aimed to develop a predictive model using machine learning algorithms, providing healthcare professionals with a novel tool for assessing disability risk in older adults. Data from the 2018 and 2020 waves of the China Health and Retirement Longitudinal Study were utilized, includi...
Saved in:
| Main Authors: | Jing Chen, Yifei Ren, Jie Ding, Qingqing Hu, Jiajia Xu, Jun Luo, Zhaowen Wu, Ting Chu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-01404-5 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data
by: Tongtong Jin, et al.
Published: (2025-07-01) -
Correction: Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data
by: Tongtong Jin, et al.
Published: (2025-07-01) -
How does disability contribute to deprivation in ageing process: a multidimensional analysis
by: Kairan Zhang, et al.
Published: (2025-06-01) -
Rights and knowledge-based approach to aging and disability: an overview of issues and approaches
by: Olga Krassioukova-Enns, et al.
Published: (2012-12-01) -
Associations of sarcopenia status and its components with the risk of developing functional disability in older Chinese adults: evidence from the China health and retirement longitudinal study
by: Zhang Hao, et al.
Published: (2025-04-01)