A 10% of diabetic people may suffer from a disease called Diabetic Retinopathy that destroys the retina causing blindness. An early detection of any sign that indicates a risk of developing DR is important, because there are treatments that can significantly improve the quality of life and minimize the risk of vision loss. Very few work exists on exploiting the information stored in the Electronic Health Record for this purpose. In this work, we propose the integration of two machine learning methods that generate a set of fuzzy classification rules. We show that the combination of two methods improves the classification quality indices.
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