Based on the aforementioned clinical data (age, initial tumor size, clinical stage, ER, PR, HER2, Ki-67, histologic grade, and type), five clinical models were developed using a simple deep-learning method called multilayer perception (MLP) and four machine learning methods: Logistic Regression (LR), Random Forest (RF), Support Vector Machine (SVM), and XGBoost (XGB). The gene discussed is PGR; the disease is neoplasm.