Abstract

Cancer is one of the leading causes of death worldwide. Early detection and prevention of cancer plays a very important role in reducing deaths caused by cancer. Ovarian Cancer (OC) is a type of cancer that affects ovaries in women, and is difficult to detect at initial stage due to which it remains as one of the leading causes of cancer death. Identification of genetic and environmental factors is very important in developing novel methods to detect and prevent cancer. This research uses data mining technology such as classification, clustering and prediction to identify potential cancer patients. Therefore a cancer risk prediction system is here proposed which is easy, cost effective and time saving.