Published on 16.Jun.2025 in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73052, first published 24.Feb.2025.

Predictive Performance of Machine Learning for Suicide in Adolescents: Systematic Review and Meta-Analysis

Predictive Performance of Machine Learning for Suicide in Adolescents: Systematic Review and Meta-Analysis

Predictive Performance of Machine Learning for Suicide in Adolescents: Systematic Review and Meta-Analysis

Lingjiang Liu^{1, 2}

; Zhiyuan Li^{2, 3}

; Yaxin Hu^{1, 2}

; Chunyou Li^{1, 2}

; Shuhan He^{1, 2}

; Shibei Zhang^{1, 2}

; Jie Gao^{2, 3}

; Huaiyi Zhu^{1, 2}

; Guoping Huang^{1, 2}

Article Authors Cited by (4) Tweetations (1) Metrics

Journals

Kim S, Lee K. Machine learning-based prediction of suicide risk using adult attention-deficit/hyperactivity disorder symptoms and depression indicators: insights from a nationally representative south korean survey. Psychiatry Research 2025;352:116702 View
Guo X, Liu S, Jiang L, Xiong Z, Wang L, Lu L, Li X, Zhao L, Shek D. Longitudinal machine learning prediction of non-suicidal self-injury among Chinese adolescents: A prospective multicenter Cohort study. Journal of Affective Disorders 2026;392:120110 View
Duan Y, Lei C, Xu S, Wang J, Li J, Fu Y, Xi Y, An J, Chen R. Predicting perceived likelihood of future suicide attempts in youth with non-suicidal self-injury: A machine learning approach using LightGBM and SHAP. Journal of Affective Disorders 2026;398:120966 View
Alom M, Tomal M, Taha R, Parvez S, Layek M, Mohsin M, Talukder M. An Explainable Triple‐Layered Ensemble Model for Early Prediction of Suicide Risk Using Machine Learning. Engineering Reports 2026;8(1) View