Medical Data Mining Algorithm Based on Optimal Risk and Prevention Model

In order to efficiently make disease diagnosis and prevention,a medical data mining with weight based on optimal risk and prevention model is proposed.It generates attribute-value items associated with disease based on optimal risk and prevention model,and the weight of attribute-value items is determined by Risk and Prevention Set with Weight(RPSW) algorithm.The algorithm is tested by two benchmark medical data sets.Experimental results show that the algorithm can obtain representative attribute-value items in medical data,and each attribute-value item is assigned to a weight so as to achieve better performance.