基于纵向数据的青少年学生自杀行为预测模型综述与荟萃分析

Background: Suicidal behavior is common among adolescents, yet most affected individuals do not receive medical care. Predicting suicidal behavior in school settings may support early prevention. Methods: We systematically reviewed longitudinal studies of machine-learning models predicting future suicidal behavior in adolescent students. Eight databases were searched through September 2026; risk of bias and applicability were assessed using PROBAST + AI. A bivariate random-effects model jointly pooled sensitivity and specificity and generated a summary receiver operating characteristic curve;