Chest-Pain Consultation System Based on Fuzzy Semantic Rules

Chest pain is considered to be one of the most important prognoses to diagnose several heart and chest diseases. This domain of knowledge suffers from vague information especially when non specialist people interact with it. This paper presents a consultation system to be used by patients with chest pain or discomfort in order to diagnose the cause of the pain and provide suitable recommendations. The system consists of two subsystems. Determining the caused of the pain is the first stage based on the fuzzy concepts and fuzzy OWL to deal with vague information. Depending on the result of the first stage, the second stage provides recommendations to be accomplished by the patient to save their lives according to SWRL and Ontology engineering. The system has been tested using 55 patients to validate its sensitivity and specificity. The results were compared with the specialists’ opinion and the results emphasized the efficiency and the reliability of the system.