A Predictive Model for Heart Disease Diagnosis Using Fuzzy Logic and Decision Tree

摘要: Heart disease is one of the preeminent causes death among people all over world. diagnosis procedure a major and critical issue for medical practitioner. Diagnosing heart with predictive model will have tremendous effect on health care. Researchers developed many models expert system using machine learning data mining techniques disease. In this study, we propose fuzzy rule-based approach decision tree. proposed work, obtained accuracy 88% which statistically significant diagnosing patient also outperforms some existing methods. The uses only eight attributes to diagnose disease, advantage our model.