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Updated: Jul 25, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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提高SVMp+在处理医疗预测缺失值方面的效率

Yufeng Zhang1, Zijun Gao1, Emily Wittrup1

  • 1Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America.

PLOS digital health
|June 29, 2023
PubMed
概括

这项研究介绍了l2-SVMp+,一种新的机器学习方法,用于处理电子健康记录中缺失的数据. 它通过有效使用特权信息来改进临床决策支持系统.

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