Applied rough set theory in diagnosis of the chagas desease

One appropriate model for modeling uncertain or inaccurate information is rough set theory which was introduced and studied by Z. Pawlak together with A. Skowron, A. Ohrn, J. Konorowski. A significant area in the field of Medical Informatics is concerned with learning of medical models from low-level data. In the analysis of the chagas disease one advantage of the rough set approach is that a set readable If-Then rules is produced. Such rules have a potential to reveal new medical insight.