【ESRD】透過臨床和術前實驗室參數，利用ML預測ESRD患者「動靜脈瘻管」功能障礙風險

 【ESRD】透過臨床變數和術前實驗室參數，利用機器學習預測ESRD患者「動靜脈瘻管(AVF)」功能障礙風險

 文章出處  

Frontiers in Surgery 

 

 原文標題  

An interpretable XGBoost model for predicting arteriovenous fistula dysfunction in end stage renal disease 

 

 文章序號  

12591 

 

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