Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Information Sciences: an International Journal - Recent advances in genetic fuzzy systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Selecting fuzzy if-then rules for classification problems using genetic algorithms
IEEE Transactions on Fuzzy Systems
Predicting individual disease risk based on medical history
Proceedings of the 17th ACM conference on Information and knowledge management
Time to CARE: a collaborative engine for practical disease prediction
Data Mining and Knowledge Discovery
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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.