【敗血症】利用機器學習預測重症創傷患者進入ICU後24-72小時內新發「敗血症」風險

 【敗血症】利用機器學習預測重症創傷患者進入ICU後24-72小時內新發「敗血症」風險

 文章出處  

Scientific Reports 

 

 原文標題  

Early prediction of sepsis in critically ill trauma patients using machine learning: a MIMIC-IV-based cohort study 

 

 文章序號  

13128 

 

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