G. Srinivas

An Interpretable Machine Learning Framework for Breast Cancer Diagnosis Using Statistical Feature Analysis and Ensemble Classification

This machine-learning-based breast cancer classifier, in a statistically justified, rigorously experimentally validated way, classifies a set of 569 breast cancer cases with 9 cytological features for breast cancer diagnosis and shows that the expression levels of Bland Chromatin, Single Epithelial Cell Size, Normal Nu...