Comparison of feature selection algorithms for medical data

Data mining application areas widen day by day. Among those areas medical area has been receiving quite a big attention. However, working with very large data sets with many attributes is hard. Experts in this field use heavily advanced statistical analysis. The use of data mining techniques is fairly new. This paper compares three feature selection algorithms on medical data sets and comments on the importance of discretization of attributes.