Breast Cancer Prediction Using Deep Learning Technique RNN and GRU

Abstract

One of the most investigated issues in health informatics is breast cancer diagnostics. Cancer treatment has also been widely researched, showing the importance of early cancer detection. Health records are integrated into a Deep Learning Model to provide an enhanced prognosis. The goal of the work is to create a system that automated those leverages with deep learning and recurrent neural network (RNN) models. The proposed work used the technique for cancer prediction as RNN and a Gated Recurrent Unit (GRU). In the simulation, Python and the cancer dataset have been used. The performance of the system represents that cancer predictions using GRU and RNN models gives a significant role.