【輸尿管】利用XGBoost識別「輸尿管導引鞘(UAS)」置入失敗的危險因子

 【輸尿管】利用XGBoost識別「輸尿管導引鞘(UAS)」置入失敗的危險因子

 文章出處  

Frontiers in Surgery 

 

 原文標題  

Clinical risk factors and machine learning-assisted interpretation of ureteral access sheath insertion failure: a multicenter study and meta-analysis 

 

 文章序號  

12482 

 

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