【冠狀動脈】以入院24小時實驗室指標，利用ML預測冠狀動脈繞道和瓣膜手術後的院內死亡率

 【冠狀動脈】基於入院24小時內實驗室指標，利用機器學習預測冠狀動脈繞道和瓣膜手術後的院內死亡率

 文章出處  

Frontiers in Cardiovascular Medicine 

 

 原文標題  

Predicting in-hospital mortality after cardiac surgery using machine learning: temporal validation in the MIMIC-IV database 

 

 文章序號  

12752 

 

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