CANCER PREDICTION SYSTEM USING DATA MINING TECHNIQUES

Premalatha D, Niveditha N, Poornima Vasanth V, Priyanka G N, Niveditha K B
2019 International Journal of Current Engineering and Scientific Research  
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 multi layered method combining clustering and decision tree techniques to build a cancer risk prediction system is proposed here which predicts lung, breast, oral, stomach and blood cancers
more » ... nd is also user friendly, time and cost saving. This project uses data mining technology such as classification, clustering and prediction to identify potential cancer patients. The gathered data is preprocessed, fed into the database and classified to yield significant patterns using decision tree algorithm. Then the data is clustered using K-means clustering algorithm to separate cancer and noncancer patient data. Further the cancer cluster is subdivided into six clusters. Finally, a prediction system is developed to analyze risk levels which help in prognosis. This project helps in detection of a person's predisposition for cancer before going for clinical and lab tests which is cost and time consuming.
doi:10.21276/ijcesr.2019.6.6.28 fatcat:k3j32sk56bgnxn3w4ycjigo4qu