机器学习模型预测机器人辅助肾部分切除术后肾功能减退

打开文本图片集

【中图分类号】R737.11 【文献标志码】A

Application of machine learning models in predicting renal function decline following robot-assisted partial nephrectomy

Li Jing'，Wang Linfeng²，Zhang Gaojie²，Huang Yong²，Gao Yingying3，Sun Rui’，Cao Yang'，Li Qiuchen'， He Hao²，Wei Ziling'，Liu Jiayu² （1. The First Clinical College of Chongqing Medical University;2. Department of Urology， The First Affiliated Hospital of Chongqing Medical University ;3. Department of Clinical Laboratory， Banan Hospital Afliated to Chongqing Medical University）

【Abstract]Objective：Tocomparetheeficacyofvarious machinelearning modelsinpredictingrenalfunctiondeclineafterobotassistedpartialnephrectoy（RAP）ndtoprovideevdencefoicaliskatfication.Methods：Thssdyetrosectielyincludedtheclinicaldataof73patientswithrnalcellcarcinomaundergongRAPNattheUrologyDepartmentofTheFirstAiliated Hospitalof ChongqingMedical UniversityfromJanuary2019 toDecember2023.Demographiccharacteristics，laboratoryindicators， andperioperativeparameters ereintegrated toconstructseven machinelearning models.Keypredictors wereinterpretedusing Shapleyaditiveexplanations（SHAP）.Modelperformancewas evauatedusingtheareaunder thereceiveroperatingcharacteristiccurve （AUC）.Results：Therandomforestmodel demonstrated thebestpredictiveperformance（AUC=0.84）.SHAPanalysisidentified neutrophil-tolpytetimordmetereaialalizdatifprotobiniitebloodcelloutd traoperativebloodlossassignificantfactorsinfluencing postoperativerenalfunctiondeclie.Conclusion：Thisstudyprovidesapotentialpredictivetolforlnicalpractieidgindentifgigskpatintsndtiiingpotopeatimanagenei.

【KeyWordsrobotasistedpartialneprectomyenalfunctiodlin;macinelearnngmodel;Shapleydditiveexplanatiordic tive model; postoperative management

肾细胞癌（renalcellcarcinoma，RCC）是起源于肾实质泌尿上皮系统的恶性肿瘤，占所有新发癌症的 2 % ～ 3 % ，其主要发病群体为男性。（剩余9367字）