【白血病】利用可解釋機器學習識別「急性淋巴性白血病」患者是否為「費城染色體陽性」

 【白血病】利用可解釋機器學習識別「急性淋巴性白血病」患者是否為「費城染色體陽性」

 文章出處  

BMJ Open 

 

 原文標題  

Development and validation of an interpretable machine learning model for predicting Philadelphia chromosome-positive acute lymphoblastic leukaemia using clinical and laboratory parameters: a single-centre retrospective study 

 

 文章序號  

8393 

 

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