Identifying Suicidal Ideation in Older Patients With Chronic Pain Using Explainable Machine Learning: A Cross-Sectional Study

The explainable machine learning models facilitate early detection and risk stratification of SI for nurses. By identifying key SI risk factors, these findings support targeted interventions and routine clinical screening.

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Publication Details

Journal
Western Journal of Nursing Research
Published
2025-11-11
DOI
https://doi.org/10.1177/01939459251386268
Primary Topic
Mental Health via Writing
Type
article
Field-Weighted Citation Impact
0.00
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article

Identifying Suicidal Ideation in Older Patients With Chronic Pain Using Explainable Machine Learning: A Cross-Sectional Study

Xiaoang Zhang, Zhijian Wang, Daying Zhang, Yaxin Jin et al.
Western Journal of Nursing Research
Mental Health via Writing
article

Identifying Suicidal Ideation in Older Patients With Chronic Pain Using Explainable Machine Learning: A Cross-Sectional Study

Xiaoang Zhang, Zhijian Wang, Daying Zhang, Yaxin Jin, Shushu Chen, Yu‐Ping Liao, Jianmei Wei, Weichen Liu
article en

Abstract

The explainable machine learning models facilitate early detection and risk stratification of SI for nurses. By identifying key SI risk factors, these findings support targeted interventions and routine clinical screening.

Western Journal of Nursing ResearchVol. 48(1)
First Affiliated Hospital of Jiangxi Medical College (CN)
Openalex Percentile: Top 61%
Mental Health via Writing
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