Specific Data Mining Model of Massive Health Data

The mining of massive medicine data is one of the most widely problem in our world. However, it’s efficiency and accuracy are still not satisfactory. Many traditional mining algorithms which calculate repeatedly to reduce the dependence between data always ignore the correlation between them. To improve the effect of diagnosis, we extract some special features by conducting a preliminary classification and identification. Then, the specific characteristics of various medical data is mined by correlation mining method. The simulation experimental results demonstrate the validity of the improved algorithm.