Crossmark

Development and validation of an interpretable multi-task prediction model based on heart rate variability for discriminating depression, anxiety and psychiatric comorbidities: a machine learning-driven retrospective study

Crossref DOI link: https://doi.org/10.1186/s12888-026-07942-0

Published Online: 2026-03-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Shu, Yongkang

Qiang, Lina

Liu, Qingrong

Xu, Yunxuan

Huang, Chaohua

Yao, Xiaopeng
License Information

Text and Data Mining valid from 2026-03-05

Accepted Manuscript valid from 2026-03-05
More Information

Article History

Received: 13 January 2026

Accepted: 25 February 2026

First Online: 5 March 2026

Declarations

:

: This retrospective study was approved by the Institutional Review Board of the Southwestern Medical University Hospital (No. KY2024507), and the requirement for written informed consent was waived. This study protocol complies with the principles of the Declaration of Helsinki.

: Not applicable.

: The authors declare no competing interests.

Document is current

Any future updates will be listed below