Abstract
This paper presents a Sugeno-type Fuzzy Expert System (FES) designed to help mostly Cardiologists and General Practitioners in taking decisions on the most common cardiological clinical dilemmas. FES is separated in five sub-systems; Coronary Disease, Hypertension, Atrial Fibrillation, Heart Failure and Diabetes, covering a wide range of Cardiology. The Fuzzy Rules of the sub-systems start counting from 30 till 300. FES is verified and validated from three different Medical Doctors User Groups (A, B & C) for three basic criteria, which are Medical Reliability, Assistance in Work and Usability. In addition, FES proved to be a valuable educative tool for Cardiology Medical Residents and Medical Students.
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Sourla, E., Syrimpeis, V., Stamatopoulou, KM., Merekoulias, G., Tsakalidis, A., Tzimas, G. (2013). Exploiting Fuzzy Expert Systems in Cardiology. In: Iliadis, L., Papadopoulos, H., Jayne, C. (eds) Engineering Applications of Neural Networks. EANN 2013. Communications in Computer and Information Science, vol 384. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41016-1_9
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DOI: https://doi.org/10.1007/978-3-642-41016-1_9
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