Analysis of Genes Responsible for the Development of Cancer using Machine Learning

Abstract

The average adult human's body is made up of approximately 37 trillion cells. Healthy cells in our bodies divide and replace themselves in a controlled fashion throughout our lives. But when healthy cells divide uncontrollably, they form new, abnormal cells, thus making a lesion in an affected body part. This lesion can be cancerous or non-cancerous. At what stage one got to know about the cancerous tumour is crucial as that would decide the basis of treatment. In this paper, we mentioned the basics of cancer and used different algorithms of data mining to detect breast cancer. In our proposed research work, WEKA software is applied with ten cross validation to calculate and accumulate result.