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In a recent study published in BMC Medicine, researchers used machine learning techniques to identify diabetic individuals among populations with normal fasting glucose using common physical examination indexes. The study collected physical examination data from three hospitals and employed multiple machine learning techniques, with the deep neural network (DNN) showing superior performance. The results of the study showed that the model was able to accurately identify diabetic individuals with normal fasting glucose.
