Augmented Breast Cancer Classification and Prediction Using Machine Learning

Abstract

The mostly occurring cancer in Indian women is breast cancer.Fifty percent of people who are suffering from this disease facing death due to lack of proper treatment. Cancer is a disease which causes due to the change in cells of the body and increase beyond normal growth and control. Breast cancer is one among the mostly occurring of cancer.Test has to be done to find out the reoccurrence of disease in already diagnosed people(Prognosis).It is highly required to raise the survival rate of patient suffering from breast cancer. With the helpof technologyand machine learning the cancer diagnosis and detection accuracy has improved.Rule based classification algorithm  plays a vital role in modern breast cancer diagnosis. A classifier is said to be good if it can acquire high accurate classification rules from historical diagnosis. Each diagnosis consists of a large amount of data, it is the aim to form minimal high accurate classification rules from the available past data. Generally, feature reduction techniques help to reduce classification rules. But the challenge is classification performance.

 However, if we could able to obtain a technique of feature reduction giving high classification accuracy, it would help obtain minimal high accurate classification rules.

Keywords: Machine learning, Prognosis, Big Data, Bioinformatics, breast cancer, classification Algorithms.