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Background Heart disease diagnosis is an important issue in the world.It has great significance to study the method of helping doctors improve the diagnostic accuracy of heart disease.Methods RBF-DDA Artificial Neural Network, Support Vector Machine,Random Forest were used to diagnose the subjects sick or not.And compare their performance.Results Random Forest has the best performance, Support Vector Machine followed, RBF-DDA Artificial Neural Network is the worst.Conclusion Random Forest and Support Vector Machine have a good effect in heart disease diagnosis.And Random Forest is much better.