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在日本环境和儿童研究中,决定树学习用于预测慢性产后抑郁症

Kenta Matsumura1, Kei Hamazaki2, Haruka Kasamatsu3

  • 1Department of Public Health, Faculty of Medicine, University of Toyama, Toyama, Japan; Toyama Regional Center for JECS, University of Toyama, Toyama, Japan.

Journal of affective disorders
|October 10, 2024
PubMed
概括

一个简单的决策树模型使用10个变量预测慢性产后抑郁症,其中包括"感到无价值". 这种可访问的工具有助于社区孕产妇卫生机构识别有风险的母亲.

关键词:
决策树 决策树是一个决策树.流行病学 流行病学纵向研究是一项纵向研究.机器学习 机器学习产后抑郁症 产后抑郁症

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