Abstract
There is a lot discussion nowadays regarding the decision-making problem. The Making decisions and creating computational models using the tools of Fuzzy Cognitive Maps and Neural Systems is presented. The reason is that the contributing factors are several and complicated themselves. The medical problem of coronary artery disease (CAD) is considered and briefly presented. In medicine, factors such as age, symptoms, clinical tests all play their role and have their own importance when it comes to examine a patient, or to decide action. The development of a Medical Decision Support System (MDSS) using fuzzy cognitive maps (FCM) for the first time to study the coronary artery disease (CAD) is formulated. A number of physician experts were used in developing a FCM with thirty concepts. Medical data from a number of real cases were used and simulations were conducted. Interesting results were obtained and discussed. Future directions for this medical application are provided.
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Apostolopoulos, I.D., Groumpos, P.P., Apostolopoulos, D.I. (2017). A Medical Decision Support System for the Prediction of the Coronary Artery Disease Using Fuzzy Cognitive Maps. In: Kravets, A., Shcherbakov, M., Kultsova, M., Groumpos, P. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2017. Communications in Computer and Information Science, vol 754. Springer, Cham. https://doi.org/10.1007/978-3-319-65551-2_20
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