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在使用高维预测模型的卫生行政数据上增强风险预测基础

Md Belal Hossain1, Mohsen Sadatsafavi2, Hubert Wong1

  • 1School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Advancing Health Outcomes, St. Paul's Hospital, Vancouver, British Columbia, Canada.

Journal of clinical epidemiology
|June 1, 2025
PubMed
概括

使用卫生行政数据的高维预测模型 (hdPM) 与传统模型相比,显著改善了结核病死亡率预测. 通过LASSO规范的hdPM为流行病学研究中的风险分层提供了一个强大的方法.

关键词:
卫生行政数据 卫生行政数据高维预测模型的高维预测模型.拉索·拉索 (Lasso) 是一个预测建模的预测建模.生存结果的结果.结核病是一种疾病.

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