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Updated: Feb 28, 2026

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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评估倾向性得分匹配的抽样效应,以减少医学数据中选择偏差

Minji Roh1, Sujin Yum1, Gihun Joo2

  • 1Interdisciplinary Graduate Program in Medical Bigdata Convergence, Kangwon National University, Chuncheon, Republic of Korea.

Frontiers in public health
|February 26, 2026
PubMed
概括

倾向分数匹配 (PSM) 可以减少医疗机器学习模型的选择偏差,提高可靠性. 然而,它的有效性取决于偏差和匹配策略的程度,以避免性能下降.

关键词:
不平衡的数据不平衡的数据.机器学习是机器学习.医学数据分析 医学数据分析倾向性得分匹配的比分匹配选择偏差是一种选择偏差.

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