【AKI】利用機器學習早期識別高風險急性胰臟炎(AP)患者的急性腎損傷(AKI)風險

 【AKI】利用機器學習早期識別高風險急性胰臟炎(AP)患者的急性腎損傷(AKI)風險

 文章出處  

 European Journal of Medical Research 

 

 原文標題  

Interpretable machine learning reveals phosphorus-to-albumin ratio as a novel predictor of mortality and acute kidney injury in critically ill pancreatitis patients: a multi-center retrospective analysis 

 

 文章序號  

10853 

 

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