【中風】基於血小板分佈寬度與計數比值，使用ML預測中風患者IVT術後「出血性轉化」風險

 【中風】基於血小板分佈寬度與血小板計數比值(PPR) ，使用ML預測急性缺血性中風患者的「靜脈血栓溶解(IVT)」後「出血性轉化(HT)」風險

 文章出處  

Frontiers in Neurology 

 

 原文標題  

Prediction of hemorrhagic transformation after thrombolysis based on machine learning models combined with platelet distribution width-to-count ratio 

 

 文章序號  

9484 

 

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