Risk Analysis of Disease Detection based on DRF algorithm

Data mining is the process of extracting interesting (non-trivial implicit previously unknown and potentially useful) information or patterns from large information repositories such as relational database data warehouses XML repository etc.The detection of most daunting diseases in the earlier stage consistently maximizes the survival rate of the patients. Research work is being activated abundantly for the consistent data analysis to diagnose these threatening ailments by exploiting contrary data mining algorithms. An automatic algorithm for determining frightening diseases for any given dataset is elicited using association rules named Discriminative Rule Framing(DRF).The DRF algorithm predicts the survivability of the disease. The DRF algorithm utilizes feature selection for the effective prediction of risk level in a given dataset. In DRF association rules are used for dimensionality reduction.