Petri net models for medical diagnosis based on rough set theory

Medical diagnosis quickly and accurately has been a scientific goal of the medical profession. By using rough set theory, decision table can be simplified and redundant attributes can be cut off. The Petri net method for modeling analysis of medical symptoms in order to accurately identify some of the symptoms of some disease that could potentially. In order to improve diagnostic capabilities, for a variety of disease symptoms, this article puts forward the method of rough sets and the model of Petri net to analyze disease. This method can accurately identify the various laws of the disease symptoms appear to improve health care level.