Comparison of Feature Selection Methods for Syncope Prediction

The aim of this study is to develop a method to predict unexplained syncope. Its diagnosis is currently based on the reproduction of symptoms induced by a 45-min of 60-80deg head-upright tilt test (HUTT). The main drawback of this test concerns its duration which can reach 45 minutes, therefore our study proposes an analysis which is only based on the 10 first minutes of the test. An important number of variables is obtained during the HUTT. To reduce and to select the most relevant variables, many feature selection methods are used and compared to obtain groups of pertinent variables. We used classification tools to achieve significant syncope outcome prediction.