【中風】利用機器學習預測接受血管內或外科手術治療的AIS患者9個月時的不良功能預後

 【中風】利用機器學習預測接受血管內或外科手術治療的AIS患者9個月時的不良功能預後

 文章出處  

Frontiers in Neurology 

 

 原文標題  

Development and Validation of an Interpretable Machine Learning Model Integrating Baseline Multimodal CT Perfusion and Clinical Data for Predicting 9-Month Functional Outcomes in Acute Ischemic Stroke 

 

 文章序號  

12544 

 

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