Ederi Felicia Azibanigha

A Hybrid CNN-SVM Model with Attention Mechanisms for Chronic Kidney Disease Prediction

This study addresses the limitations of traditional diagnostic methods and the "black-box" nature of standard deep learning by developing an explainable, attention-driven hybrid Convolutional Neural Network- Support Vector Machine (CNN-SVM) framework that provides a robust, transparent, and low-cost diagnostic utility.