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

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Journal
BMC Psychiatry
Published
2026-03-05
DOI
https://doi.org/10.1186/s12888-026-07942-0
Primary Topic
Heart Rate Variability and Autonomic Control
Type
article
Field-Weighted Citation Impact
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article

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

Chaohua Huang, Lina Qiang, Yunxuan Xu, X P Yao et al.
BMC Psychiatry
Heart Rate Variability and Autonomic Control
article

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

Chaohua Huang, Lina Qiang, Yunxuan Xu, X P Yao, Qingrong Liu, Yongkang Shu
article en

Abstract

No abstract available for this paper.
BMC Psychiatry
Southwest University of Science and Technology (CN), Southwest Medical University (CN), Affiliated Hospital of Southwest Medical University (CN)
Reduced inequalities
Openalex Percentile: Top 39%
Heart Rate Variability and Autonomic Control
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