Heart Diseases Diagnosis via Improved Classifier System (XCSLA).

Today, with advances in use of intelligent systems technology for data analysis, processing in the diagnosis of various diseases is of particular importance. In this paper, an intelligent method that combines xcs and LA are offered to diagnose heart disease. Classification system (XCS) which is considered as one of the most successful agents in learning to solve problems (Learning Agents) is known, rules based on its accuracy in predicting the reward received from the environment, evaluating and using genetic algorithms to update. In this paper, using data from the UCI database, the proposed method deals with the education system And then use the test data to evaluate system performance. the Improve efficiency of the method compared to previous methods for detecting heart disease show. [ABSTRACT FROM AUTHOR]