【休克】利用ML預測敗血性休克患者開始使用血管加壓藥物後，早期血流動力學穩定情況

 【休克】利用機器學習預測敗血性休克患者開始使用血管加壓藥物後，早期血流動力學穩定情況

 文章出處  

Frontiers in Medicine 

 

 原文標題  

Interpretable Machine Learning Models Using Early Dynamic Clinical Features to Predict Early Hemodynamic Stabilization After Vasopressor Initiation in Patients With Septic Shock: Development in MIMIC-IV and External Validation in Eicu 

 

 文章序號  

12707 

 

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