Artificial Intelligence-Based Neural Network for the Diagnosis of Diabetes: Model Development.

BACKGROUND: The incidence of diabetes is increasing in China, and its impact on national health cannot be ignored. Smart medicine is a medical model that uses technology to assist the diagnosis and treatment of disease.
OBJECTIVE: The aim of this paper was to apply artificial intelligence (AI) in the diagnosis of diabetes.
METHODS: We established an AI diagnostic model in the MATLAB software platform based on a backpropagation neural network by collecting data for the cases of integration and extraction and selecting an input feature vector. Based on this diagnostic model, using an intelligent combination of the LabVIEW development platform and the MATLAB software-designed diabetes diagnosis system with user data, we called the neural network diagnostic module to correctly diagnose diabetes.
RESULTS: Compared to conventional diagnostic procedures, the system can effectively improve diagnostic efficiency and save time for physicians.
CONCLUSIONS: The development of AI applications has utility to aid diabetes diagnosis. ©Yue Liu. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 27.05.2020.