Prediction of Breast Cancer Using Hybrid ML Techniques

Abstract

Breast Cancer is one of the most common diseases that occurs in Indian residents. It ranks fourth in the top ten cancers in America. Every four minutes, a woman in India is affected by this deadly disease, according to the statistics. The women living in the suburbs are more likely to get breast cancer than in the past. One in twenty-eight women in India are diagnosed with breast cancer. Urban women (1 in 22) suffer more from it than rural women (1 in 60). Projections for 2023 indicate that the United States alone will witness 1,958,310 new cancer cases and 609,820 cancer-related death. These deaths can be avoided if these tumours can be detected early. This project gives a strategy for detecting breast cancer using hybrid ML techniques. The main goal is to predict breast cancer from an existing input dataset, which has all the necessary information about Benign and Malignant cancer. This system uses two algorithms Decision Tree and Naïve Bayes.