Analysis of the Performance of the Customized ANN Model for Accurate Breast Cancer Detection
Nikhila Gudipati, M Rohan, M Neha Chowdary, Y. C. Kiran, Ashwini Kodipalli, Trupthi Rao · 2024
The rise of population in medical research, caused early identification of diseases has become a crucial concern in recent times. The significant increase in the global population has directed a notable rise in the deceased attributed to breast cancer, which is currently recognized as the second most severe type of cancer. To aid healthcare professionals in disease diagnosis and provide them with reliable, efficient, and prompt responses, a system has been developed for automated illness detection. In this particular research investigation, Artificial Neural Network performed breast cancer classification. In order to evaluate the model's performance, a known dataset -UCI machine learning source was utilized. The results indicated that ANN s achieved an exceptional accuracy rate of 98.24%.