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。根据全球数据，2020年PCa新发约141.4万例，死亡约37.5万例，在男性肿瘤中发生率排第2位，死亡率排第5位[。据估计，2023年美国PCa新发病例达到28.8万 ......