Xusen Zheng

Machine Learning in Breast Cancer Diagnosis: A Review of Logistic Regression and Related Methods

This review synthesizes recent work on breast tumor classification with an emphasis on logistic regression and compares it with Support Vector Machines, Decision Trees, XGBoost, and Neural Networks to discuss practical challenges — including interpretability, privacy, dataset shift, and external validation.