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Updated: May 21, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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对于类不平衡的医疗数据集,数据离散和数据重新抽样之间的相互作用效应

Min-Wei Huang1,2,3, Chih-Fong Tsai4, Wei-Chao Lin5,6,7

  • 1Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, Kaohsiung.

Technology and health care : official journal of the European Society for Engineering and Medicine
|March 19, 2025
PubMed
概括

将数据分离和重新抽样结合起来,可以提高对不平衡医疗数据的分类器性能. 最佳策略取决于数据集类型,过量采样通常会比基线方法提高结果.

关键词:
阶级不平衡 阶级不平衡数据挖掘是数据挖掘的一个方法.数据重新抽样数据重新抽样.分密化 (Discretization) 是指对信息进行分密化.机器学习是机器学习.

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