【敗血症】基於ICU入院後24小時內的臨床和免疫學標記，利用ML預測「敗血症」恢復軌跡

 【敗血症】基於ICU入院後24小時內的臨床和免疫學標記，利用ML預測「敗血症」恢復軌跡

 文章出處  

Frontiers in Medicine 

 

 原文標題  

Distinct Immunological Signatures Define Three Sepsis Recovery Trajectories: A Multi-cohort Machine Learning Study 

 

 文章序號  

7627 

 

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