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Updated: Jun 11, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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从ALSPAC使用机器学习的产前和儿童数据中预测青少年抑郁症

Arielle Yoo1,2,3, Fangzhou Li1,2,3, Jason Youn1,2,3

  • 1Department of Computer Science, University of California - Davis, Davis, USA.

Scientific reports
|October 7, 2024
PubMed
概括

机器学习模型可以使用早期生活因素预测青少年抑郁症. 关键预测因素包括女性性别,父母心理健康和压力环境,有助于早期发现和预防.

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