【AKI】基於術前營養狀況，利用機器學習預測冠狀動脈繞道手術後的「急性腎損傷」風險

 【AKI】基於術前營養狀況，利用機器學習預測冠狀動脈繞道手術後的「急性腎損傷」風險

 文章出處  

Frontiers in Nutrition 

 

 原文標題  

Development and External Validation of a Machine Learning Model Based on Preoperative Nutritional Status for Predicting Acute Kidney Injury After Coronary Artery Bypass Grafting 

 

 文章序號  

11059 

 

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