A Survey on Various Predictability and Survivability Factors in Breast Cancer Using Data Mining and Soft Computing Techniques

摘要

In the field of Medical science, there was a vast technological improvement. Even though, some of the dreadful disease causing factors was not predicted in earlier stages.Predicting the outcome of a disease is one of the most interesting and challenging tasks where data mining techniques have to be applied. The Main aim of this paper is to identify the most effective way to reduce cancer deaths by detecting it earlier. The Classification technique is deployed with the various data mining factor to yield the better prediction rate. Cancer is a dreadful disease which kills several thousand people life. If it is predicted earlier based on the food habits, age, sex, and other risk factors the death rate can be still reduced. The supervised technique is used to classify the risk causing factors and the association rule mining is used to build the rules which helps for easier prediction. In the future, classification is done and ontology framework will be developed, which may lead to better results in prediction.