Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques

Diabetes is a chronic noncommunicable disease with high incidence rate. Diabetics without early diagnosis or standard treatment may contribute to serious multisystem complications, which can be life threatening. Timely detection and intervention of prediabetes is very important to prevent diabetes, because it is inevitable in the development and progress of the disease. Our objective was to establish the predictive model that can be applied to...