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Updated: Sep 13, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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使用来自青少年,父母和兄弟姐妹的综合数据预测青少年自杀风险:对多个机器学习模型的分析

Wenbang Niu1, Hui Yu2, Jiaqi Li1

  • 1Key Laboratory of Brain, Cognition and Education Sciences, South China Normal University, Ministry of Education, Guangzhou, China; School of Psychology, South China Normal University, Guangzhou, China; China Center for Studies of Psychological Application, South China Normal University, Guangzhou, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.

Journal of affective disorders
|July 31, 2025
PubMed
概括

使用机器学习模型改进了青少年自杀风险预测. 青少年和家长报告的情绪困难是关键指标,即使没有自我报告.

关键词:
家庭因素 家庭因素机器学习是机器学习.配对数据是对的数据.自杀的风险 自杀的风险

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