Predicting the probability of seroma in two-stage prepectoral breast reconstruction

Learn more about the predictive model This model predicts the probability of seroma based on multiple factors including BMI, hypertension status, chemotherapy regimen, mastectomy type, and mastectomy weight.

Model: Random Forest Classifier

Accuracy: 0.81
AUC: 0.83
Sensitivity (Recall): 0.64
Specificity: 0.86
PPV: 0.57
NPV: 0.89