Diagnostic Analysis of Breast Cancer in Non-Cancer History Patients Using Fuzzy Mapreduce Framework

摘要

Breast cancer is most commonly occurring cancer among women of all ages and surprisingly in recent days it is found that women with no cancer history are being diagnosed with breast cancer. A lot of breast cancer related data is available on the web but it involves uncertainty. So, there is a need to use noise proof computing techniques to draw proper inferences about the disease. In this paper, fuzzy soft computing approach combined with the MapReduce framework is used to handle noisy data about cancer on web in order to precisely recognise the occurrence of breast cancer in non-cancer history patients at early stages.