Breast cancer has become the second main cause of cancer deaths in the women, nowadays, after lung cancer. It has become very common and is spreading very quickly and undesirably. Though there are a number of medical facilities available to treat and diagnose breast cancer but still it is very long process and takes time over its diagnoses which just increase the probability of cancer spreading more quickly. For this reason scientists decided to develop a computer based system that could be used for diagnosis of breast cancer, so that the time taken would be reduced and eventually the rate of spreading can be reduced. This paper provides the overview of survey of breast cancer using various machine learning algorithms. This will help us to know a lot about the work done on this system and eventually will help the researchers to improve the system.
Machine Learning Approach, Neural Nets, Breast Cancer.