Deep Learning-Based Genetic Detection and Pathogenesis of Diabetes

In the development of modern science and technology innovation, how to use deep learning algorithms to diagnose diseases is the main problem in artificial intelligence research. As one of the major diseases affecting human physical and mental health, diabetes is a disease caused by high glucose levels in the blood, with high morbidity, high treatment cost and high mortality. If it is not effectively controlled for a long time, it will directly damage various human body organs. In this paper, after understanding the research status of diabetes gene testing and morbidity association, combined with the deep learning concept in the field of artificial intelligence, the main research is how to prevent and control the complications of diabetes at the source, how to build a scientific and effective disease prediction system, to create convenient conditions for medical diagnosis, and truly achieve the development goal of early detection and early treatment.