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使用决策树模型和全面的全州数据来预测监狱释放后的阿片类药物过量服用

Kristina Yamkovoy1, Prasad Patil2, Devon Dunn3

  • 1University of Colorado School of Medicine, Division of General Internal Medicine, Aurora, CO, USA.

Annals of epidemiology
|May 6, 2024
PubMed
概括

在监狱释放后预测阿片类药物过量至关重要. 分层模型改善了跨种族群体的风险预测,确定非自愿的承诺是预防阿片类药物过量服用的关键因素.

关键词:
算法偏差是一种算法偏差.决策树是一个决策树.监禁是一种监禁.机器学习 机器学习过量服用阿片类药物过量服用使用物质使用物质.

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