A Prediction System for Cardiovascularity Diseases Using Genetic Fuzzy Rule-Based Systems

摘要

In this paper we present a fuzzy rule-based system to predict Cardiovascularity diseases. The input variables of the system are the most influent factors for that type of diseases and the output is a risk prediction of suffering from them. Our objective is to get an accurate prediction value and a system description with a high degree of interpretability. We use a set of examples and a design process based on genetic algorithms to obtain the components of the fuzzy rule-based system.