Diabetes Mellitus is a chronic disease that requires early and accurate diagnosis. This study aims to develop an expert system to diagnose Type 2 Diabetes Mellitus by comparing Certainty Factor and Dempster-Shafer methods. The system was developed using rule-based reasoning with symptom data and expert confidence values. Evaluation using a confusion matrix shows that the Certainty Factor method achieved higher accuracy than the Dempster-Shafer method.
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