Areej Fatima

An Explainable and Computationally Efficient Machine Learning Framework for Breast Cancer Diagnosis Using Predictive and Interpretability Analysis

A systematic study of computational complexity has been conducted, and the results show that the training and inference latency of logistic regression is significantly lower than that of random forests, indicating its potential suitability for future resource-constrained clinical decision-support investigations after e...