基于SuperLearner的前列腺癌风险预测模型构建与验证

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中图分类号：R737.25 文献标识码：A文章编号：1006-1959（2025）14-0013-08

Abstract：OjetieTostructskpredictioodelofprostateancerCabysingsupesebleeainglgoriSuperLeadto providerefereceforearlysrengandarlydagosisandtreatentofCabusingmacheaingalgoritMetodsBasedontheostae cancer earlywarningdataset（ n=1679 provided by the National Population Health Science Data Center，seven machine learning algorithms such as SuperLearnerereusedtoosrctCaskpredictionodelAcodigtoteatof7，tdatasetasandomlydvidedintoagt andverfcatiostndodelsostruceddefspecielyesulsAtalofacangCasditiodelse consructedaltUi 0.696，oitie：tiedtieop freePSAoanspoeatiendlowesitylotenolesteolaeeiostimporantablesfora ConclusionTeCaispredicoodelasessullostruedicnrdeietifasisfortecaiofupar algorithm in early screening and early diagnosis and treatment of PCa.

KeyWords：Prostate cancer;Risk prediction;Machinelearning;Integrated learning;Interpretability

前列腺癌（prostatecancer，PCa）是男性最常见的恶性肿瘤之一。（剩余11861字）