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In this work, an efficient medical decision system for diabetes prediction based on Deep Neural Network (DNN) is presented. Such algorithms are state\u2010of\u2010the\u2010art in computer vision, language processing, and image analysis, and when applied in healthcare for prediction and diagnosis purposes, these algorithms can produce highly accurate results. Moreover, they can be combined with medical knowledge to improve decision\u2010making effectiveness, adaptability, and transparency. A performance comparison between the DNN algorithm and some well\u2010known machine learning techniques as well as the state\u2010of\u2010the\u2010art methods is presented. The obtained results showed that our proposed method based on the DNN technique provides promising performances with an accuracy of 99.75% and an F1\u2010score of 99.66%. 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