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对统一研究数据集预测建模中缺失数据的归算方法的影响进行比较

JiaHang Li1,2, ShuXia Guo1,2, RuLin Ma1,2

  • 1Department of Public Health, Shihezi University School of Medicine, North 2th Road, Shihezi, 832003, Xinjiang, China.

BMC medical research methodology
|February 16, 2024
PubMed
概括

最接近邻居分类 (KNN) 和随机森林 (RF) 在队列研究中有效处理缺失的数据. 这些机器学习方法改善了心血管疾病风险预测模型与其他归算技术相比.

关键词:
心血管疾病是什么心血管疾病群组研究是一项群组研究.计入方法的方法.机器学习 机器学习缺少的数据数据.

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