Intelligent classification in medical data

Most of the health care companies have shown their efforts in putting their patients´ record properly. The patients´ record would be very useful in discovering knowledge and identifying patterns, such as for disease detection. In order to exercise pattern identification task, we chose medical dataset from UCI as our preliminary study. We focused our experiment in performing intelligent classification methods in medical data. This paper discusses the result for comparative study of classification methods in seven medical datasets. We measure the accuracy of the classifiers for evaluation. Subsequently, the classification method that has the potential to significantly improve the common methods will be suggested for the use in future studies.