Biomarker-based depression risk prediction in chronic heart failure patients: an interpretable machine learning approach

Yuxuan Tao, Chenglong Yao, Runjia Liu, Hongfan Qiu, Xinmei Liu, Bingjie Wang, Haixia Li

Open source

DOI: 10.3389/fendo.2025.1737713
Published: 2025-12-11
Container: Frontiers in Endocrinology
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fendo.2025.1737713,
  title = {Biomarker-based depression risk prediction in chronic heart failure patients: an interpretable machine learning approach},
  author = {Yuxuan Tao and Chenglong Yao and Runjia Liu and Hongfan Qiu and Xinmei Liu and Bingjie Wang and Haixia Li},
  year = {2025},
  journal = {Frontiers in Endocrinology},
  doi = {10.3389/fendo.2025.1737713},
  url = {https://doi.org/10.3389/fendo.2025.1737713}
}

RIS

TY  - JOUR
TI  - Biomarker-based depression risk prediction in chronic heart failure patients: an interpretable machine learning approach
AU  - Yuxuan Tao
AU  - Chenglong Yao
AU  - Runjia Liu
AU  - Hongfan Qiu
AU  - Xinmei Liu
AU  - Bingjie Wang
AU  - Haixia Li
PY  - 2025
JO  - Frontiers in Endocrinology
DO  - 10.3389/fendo.2025.1737713
UR  - https://doi.org/10.3389/fendo.2025.1737713
ER  -

APA

Tao, Y., Yao, C., Liu, R., Qiu, H., Liu, X., Wang, B., & Li, H. (2025). Biomarker-based depression risk prediction in chronic heart failure patients: an interpretable machine learning approach. Frontiers in Endocrinology. https://doi.org/10.3389/fendo.2025.1737713

Source records

crossref · retrieved 2026-09-25T11:14:52.848Z