The prediction of distant metastasis risk for male breast cancer patients based on an interpretable machine learning model

HIGHLIGHTS

• who: Xuhai Zhao from the Department of Breast Surgery, Harbin University Cancer Hospital, Harbin, China have published the Article: The prediction of distant metastasis risk for male breast cancer patients based on an interpretable machine learning model, in the Journal: (JOURNAL)
• what: Objectives This research was designed to compare the ability of different machine learning (ML) models and nomogram to predict distant metastasis in male breast cancer (MBC) patients and to interpret the optimal ML model by SHapley Additive exPlanations (SHAP) framework. This study demonstrated that 168 (7.1%) patients had a distant metastasis and . . .
  

   

  

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