Deep Learning Approach as New Tool for Type 2 Diabetes Detection

The use of intelligent techniques in medical diagnosis is gradually increasing, among these techniques, we have deep learning algorithms that can help us detect the onset of diabetes. Early detection of diabetes can reduce the complications associated with the disease. This paper aims to present the "Deep Learning" technology to predict whether a patient is likely to develop diabetes within five years, it is based on diagnostic measures of eight simple characteristics. We propose models for the diagnosis of diabetes disease by applying deep learning architecture namely DNN.