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Updated: May 26, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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青少年抑郁症和自我伤害并发症的危险因素:一项机器学习研究

Yuancheng Huang1,2, Yanli Hou1,2,3, Caina Li4,5

  • 1School of Psychology, Shaanxi Normal University, 199 Chang'an South Road, Yanta District, Xi'an, Shaanxi Province, 710062, China.

European child & adolescent psychiatry
|February 21, 2025
PubMed
概括

机器学习有效地利用13个关键因素预测青少年抑郁症和自伤并发症. 情绪问题和网络受害者是重要的预测因素,有助于早期干预策略.

关键词:
青少年时期 青春期伴随性疾病 伴随性疾病抑郁症 抑郁症 抑郁症机器学习 机器学习自己伤害的自我伤害.

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