A SURVEY ON MEDICAL DATA MINING TECHNIQUES

Abstract

In data mining, we are extracting data from historical knowledge and create data sets. Data mining is similar to discover data knowledge from data warehouse and converts it into understandable format. In India, furthersocieties are listening aboutthe medical fitness and health opinion problems. In China, more than 200 thousand people die due to medication errors and 100 thousand in USA .More than 45% medication errors are caused by physicians as specialists write the prescription giving to their practices which are quite  limited. In India, at every moment to take care of health and maintain medicine records is very tedious task in pharmaceutical industry, medical ministry and health industry. So, data mining techniques provide necessary information and awarenessabout medical history and help doctors to classify various medicines correctly to reduce medication error effectively. This paper reviews the results of different classification techniques such as Support vector machine, Naive Bayes, Decision tree, neural networks to diagnosis various diseases that helps to offer many advantages over the traditional healthcare.This paper shows that the medical data mining techniques related to the patients are rising on increasing and extended towards storage on cloud. So now to extract important information from this huge amount of data securely, requires classification, so, in future C4.5 algorithm is used for classification and it is the latest version of ID3 algorithm effective to classify the data.