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Updated: Jan 10, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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优化韩国自杀风险预测:使用重新采样方法和机器学习算法对模型性能进行比较

Eunji Lim1,2, Bong-Jo Kim2,3, Boseok Cha2,3

  • 1Department of Psychiatry, Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea.

Psychiatry investigation
|November 23, 2025
PubMed
概括

这项研究使用机器学习 (ML) 算法和重新采样方法开发了一种优化的韩国自杀预测模型. 随机森林模型与低样本数据在预测自杀念头方面表现出色.

关键词:
尼汉斯 (Khanes) 是一个名字.机器学习是机器学习.过量采样过度采样随机的森林随机的森林自杀的想法 自杀的想法低采样低采样是什么意思

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