智醫科學

AI醫療技術、應用與市場動態

【卵巢癌】基於凝血參數(D-dimer),使用ML預測「極惡性漿液型卵巢癌」存活率

 【卵巢癌】基於凝血參數(D-dimer),使用ML預測「極惡性漿液型卵巢癌(HGSOC)」存活率


 文章出處  

Clinica Chimica Acta 

 

 原文標題  

Integration of coagulation parameters Enhances deep Learning-Based survival prediction in High-Grade serous ovarian Cancer: A comprehensive prognostic model 

 

 文章序號  

8770 

 

智醫科學-AI醫療技術、應用與市場動

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