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AI醫療技術、應用與市場動態

【譫妄】基於術中腦電圖訊號,利用XGBoost預測「術後譫妄 (POD)」風險

 【譫妄】基於術中腦電圖訊號,利用XGBoost預測「術後譫妄 (POD)」風險


 文章出處  

Clinical Neurophysiology 

 

 原文標題  

Machine learning-based prediction of postoperative delirium from intraoperative EEG signal alterations in brain functional connectivity 

 

 文章序號  

11397 

 

智醫科學-AI醫療技術、應用與市場動

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