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构建基于机器学习算法的肺癌查风险预测模型

Tiantian Zhang1,2, Yexin Chen1, Pei Wang3,4

  • 1College of Pharmacy/Southern Institute of Pharmacoeconomics and Health Technology Assessment, Jinan University, Guangzhou, China.

Journal of evidence-based medicine
|January 7, 2026
PubMed
概括

机器学习模型,如XGBoost,可以改善肺癌风险预测在中国的查. XGBoost模型显示出比物流回归更好的准确性,突出了儿童燃料暴露作为风险因素.

关键词:
肺癌是一种肺癌.机器学习是机器学习.风险预测风险预测

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