Machine Learning-Based Depression Risk Prediction Models for Older Adults Analyzing From the Perspective of the Health Ecology Model: A Scoping Review
- DOI
- 10.2147/ndt.s594239
- Published
- 2026-03
- Container
- Neuropsychiatric Disease and Treatment
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2147/ndt.s594239,
title = {Machine Learning-Based Depression Risk Prediction Models for Older Adults Analyzing From the Perspective of the Health Ecology Model: A Scoping Review},
author = {Jie Yang and Xinyu Hao and Xiao Sang and Enshe Jiang and Xiaoguang Zhang},
year = {2026},
journal = {Neuropsychiatric Disease and Treatment},
doi = {10.2147/ndt.s594239},
url = {https://doi.org/10.2147/ndt.s594239}
}RIS
TY - JOUR TI - Machine Learning-Based Depression Risk Prediction Models for Older Adults Analyzing From the Perspective of the Health Ecology Model: A Scoping Review AU - Jie Yang AU - Xinyu Hao AU - Xiao Sang AU - Enshe Jiang AU - Xiaoguang Zhang PY - 2026 JO - Neuropsychiatric Disease and Treatment DO - 10.2147/ndt.s594239 UR - https://doi.org/10.2147/ndt.s594239 ER -
APA
Yang, J., Hao, X., Sang, X., Jiang, E., & Zhang, X. (2026). Machine Learning-Based Depression Risk Prediction Models for Older Adults Analyzing From the Perspective of the Health Ecology Model: A Scoping Review. Neuropsychiatric Disease and Treatment. https://doi.org/10.2147/ndt.s594239
Source records
- crossref · retrieved 2026-09-25T15:26:42.201Z