Biomarkers associated with future suicide risk enhance predictive performance in psychiatric inpatients

This study highlights the potential of biomarkers with ML to predict future risk, offering objective assessments and supporting early interventions.

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Publication Details

Journal
BMJ Health & Care Informatics
Published
2026-03-01
DOI
https://doi.org/10.1136/bmjhci-2025-101547
Primary Topic
Suicide and Self-Harm Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Biomarkers associated with future suicide risk enhance predictive performance in psychiatric inpatients

Yichao Yin, Chang Li, Weiwei Xu, Dong Bai et al.
BMJ Health & Care Informatics
Suicide and Self-Harm Studies
article

Biomarkers associated with future suicide risk enhance predictive performance in psychiatric inpatients

Yichao Yin, Chang Li, Weiwei Xu, Dong Bai, Yuqin Weng, Xiaosong Tang, Hongxia Li, Weizhong Shi, Enzhao Zhu, Xuqi Song, Shengbei Liu, Fazhan Chen, Kang Ju, Jiaojiao Hou, Yue Liu, Zhihao Chen, H. J. Yang, Siqi Liu, Wei Wang, Xi Zhang, Hao Wang, Keping Chen, Zisheng Ai, Haiyan Pan, Pu Ai, Tianyu Ji, Zongyuan Wang, Qiuyi Lu, Jiayi Wang, Jianmeng Dai, Qianyi Yu, Ruichen Tang, Xunuo Lu, Yanping Zhang, Ruyi Shui, Guoquan Zhou, Xiuake Bahuojia, Tongxing Ou, Xin Wang, Liangliang Chen, Dong Wang, Feng Wang, Zheya Cai
article en

Abstract

This study highlights the potential of biomarkers with ML to predict future risk, offering objective assessments and supporting early interventions.

BMJ Health & Care InformaticsVol. 33(1)
Tongji University (CN), East China University of Science and Technology (CN), Capital Medical University (CN), Shanghai Mental Health Center (CN), Universitätsklinikum Aachen (DE), Shanghai Hospital Development Center (CN), Shanghai Changning Mental Health Center (CN), Nanjing Medical University (CN), RWTH Aachen University (DE)
Openalex Percentile: Top 9%
Suicide and Self-Harm Studies
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