Diagnosis of Breast Cancer using Machine Learning Algorithms

Abstract

Breast cancer is one on the most well-known kind of malignant growth influencing ladies from all around the globe. If not diagnosed at an early stage it can lead to many complications or even death. This disease can affect an individual due to genes, environmental affects and many other factors. In today’s world with very advanced technologies and surgical procedures, the treatment of cancer has somewhat become easier. Machine learning and artificial intelligence techniques has played a vital role in detection, analysis and visualization of cancer cells in the human body. In this paper a review about the various machine learning algorithms used for the detection of cancerous cells have been presented. Some of the algorithms reviewed are K-nearest neighbors, random forest, and support vector machine etc., for detection of cancerous tumor.