Association of TyG-RFM with depressive symptoms: a nationally representative study enhanced by interpretable machine learning
- DOI
- 10.1016/j.psychres.2026.117307
- Published
- 2026-10
- Container
- Psychiatry Research
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.psychres.2026.117307,
title = {Association of TyG-RFM with depressive symptoms: a nationally representative study enhanced by interpretable machine learning},
author = {Yan Chen and Ningkun Xiao and Xiangpeng Kong and Qingzhi Zhou and Kailing Xie and Xin Zhao},
year = {2026},
journal = {Psychiatry Research},
doi = {10.1016/j.psychres.2026.117307},
url = {https://doi.org/10.1016/j.psychres.2026.117307}
}RIS
TY - JOUR TI - Association of TyG-RFM with depressive symptoms: a nationally representative study enhanced by interpretable machine learning AU - Yan Chen AU - Ningkun Xiao AU - Xiangpeng Kong AU - Qingzhi Zhou AU - Kailing Xie AU - Xin Zhao PY - 2026 JO - Psychiatry Research DO - 10.1016/j.psychres.2026.117307 UR - https://doi.org/10.1016/j.psychres.2026.117307 ER -
APA
Chen, Y., Xiao, N., Kong, X., Zhou, Q., Xie, K., & Zhao, X. (2026). Association of TyG-RFM with depressive symptoms: a nationally representative study enhanced by interpretable machine learning. Psychiatry Research. https://doi.org/10.1016/j.psychres.2026.117307
Source records
- crossref · retrieved 2026-09-26T07:11:20.836Z