A Review on Prediction Model for Breast Cancer Using Machine Learning

Abstract

One of the commonly encountered in which blood cells begin to proliferate erratically is breast cancer. There are several forms of breast cancer that can be fatal to the patient who's been diagnosed with it. Numerous things, such as genes, changes in the economy, social circumstances, and lifestyle choices, might contribute to it. Several research and articles have been written in this area to address the problem of such a terminal disease and offer answers by figuring out how to assist patients.In order to better comprehend the project's approach and to compare and contrast various machine learning algorithms, this paper is aimed at informing the reader about breast cancer. Machine learning can be employed to identify undetected trends for the identification of breast cancer by emphasizing the creation of a model with a high level of accuracy. The suggested strategy can be integrated with other machine learning approaches depending on the appropriateness and requirements of the project.