Deep Learning Models for Predicting the Recurrence of Idiopathic Granulomatous Mastitis

This study demonstrates that, compared to logistic regression and random forest models, neural networks have superior performance in predicting the recurrence of granulomatous mastitis. The high accuracy and reliability of the neural network model highlight its potential clinical application in the early and accurate prediction of IGM recurrence.