Study On Diabetic Conditions Monitoring Using Deep Learning Application
R. Kishore Kanna, R. Chandrasekaran, Asraa Ahmed Khafel, Mohammed Brayyich, Kadim A. Jabbar, Haider Al-Chlidi
Abstract
The application of technology search in full industrial management has been shown to be advanced to some extent by deep learning models. The replacement of activities that need human intellect by AI is imminent. These devices are operated by computers. The major goal of this model is to investigate a light-weight deep learning model for continuously monitoring diabetic patients for risk assessment. A kind of ML branch known as deep learning technology uses or draws inspiration from human brain algorithms. One such network used by DL is the ANN (artificial neural network). The metabolic disease that affects blood sugar levels is more likely to be associated with diabetes mellitus (glucose). An ongoing indirect risk assessment is known as a continuous risk assessment. It is a substantial and important kind of evaluation that has to be conducted often as part of ongoing management.