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Cardiac risk factor assessment requires a classification system that is robust to the interaction and uncertainty of input factors, as well as being interpretable on the decision made. To meet the requirements, we made use of neuro-fuzzy methods, a certain novelty in cardiac risk assessment.Statistic data of 165 patients including sex, age, LDL, blood pressure, and Myocard-brain Creatinine Phosphokinase...
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