Machine learning for predicting unmet mental health treatment need among untreated adults with any mental illness: Evidence from a national survey.
- DOI
- 10.1016/j.psychres.2026.117463
- Published
- 2026 Sep 14
- Container
- Psychiatry research
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.psychres.2026.117463,
title = {Machine learning for predicting unmet mental health treatment need among untreated adults with any mental illness: Evidence from a national survey.},
author = {Yuan L and Niu XY and Zhang YX and Yu T and Kulachai P and Zhang YD and Zheng H},
year = {2026},
journal = {Psychiatry research},
doi = {10.1016/j.psychres.2026.117463},
url = {https://doi.org/10.1016/j.psychres.2026.117463}
}RIS
TY - JOUR TI - Machine learning for predicting unmet mental health treatment need among untreated adults with any mental illness: Evidence from a national survey. AU - Yuan L AU - Niu XY AU - Zhang YX AU - Yu T AU - Kulachai P AU - Zhang YD AU - Zheng H PY - 2026 JO - Psychiatry research DO - 10.1016/j.psychres.2026.117463 UR - https://doi.org/10.1016/j.psychres.2026.117463 ER -
APA
L, Y., XY, N., YX, Z., T, Y., P, K., YD, Z., & H, Z. (2026). Machine learning for predicting unmet mental health treatment need among untreated adults with any mental illness: Evidence from a national survey.. Psychiatry research. https://doi.org/10.1016/j.psychres.2026.117463
Source records
- pubmed · retrieved 2026-09-26T09:42:46.300Z