【AKI】利用機器學習預測老年敗血症相關「急性腎損傷」28天院內死亡風險

 【AKI】利用機器學習預測老年敗血症相關「急性腎損傷」28天院內死亡風險

 文章出處  

Frontiers in Medicine 

 

 原文標題  

Development and validation of a prognostic prediction model for elderly patients with sepsis-associated acute kidney injury based on interpretable machine learning 

 

 文章序號  

12998 

 

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