Data Mining Algorithms for Medical Sciences

Todays, we can use of new technology tools for restoring and saving data in huge size and so we need a new science for searching in these huge data source and finding useful and neccessory results in them. Data mining is a science that is searched automatically in huge data for finding models and association ruls in them where other statistical analysis can’t do that. The medical science is one of sciences that need to use of these tools for analyzing their huge data and creating predictive model with new computation ways. The purpose of this research is review of ruls and application area of predictive data mining in medical sciences and presenting a frame work for creating, evalution and explointion of data mining models in this. In this article we reviewed researches that are published recently about predictive datamining in medicine and we try to highlight important problems and summarizing data mining ways and algoriths that use in this area as a learning set. This research is shown that datamining preidiction provide neccessory tools for researcher and medical doctors to improvmet in prevention of disease, diagnosis ways and their treatment programs. And also it seems the way of data mining in medical are mostly clustering and classification.