Survey Report on Cancer

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. Identification of genetic and environmental factors is very important in developing novel methods to detect and prevent cancer. Therefore, a novel multilayered method combining clustering and decision-tree techniques to build a cancer-risk prediction system is proposed here which predicts lung, breast, oral, cervix, stomach and blood cancers and is also user friendly, time and cost saving. The main purpose of this paper is to predict how likely the people with different age groups are being detected with cancer based on their lifestyle activities and to find out factors responsible for this disease. Hence, it is interesting to implement statistical techniques in medical field to understand the symptoms of cancer. Hence, it can be detected and treated in its early stage leading to save the lives of people.