Research on prediction of daily admissions of respiratory diseases with comorbid diabetes in Beijing based on long short-term memory recurrent neural network

Prediction and analysis of risk factors for diabetic retinopathy based on machine learning and interpretable models

“…Zhu et al predicted the hospitalization of patients with respiratory system problems and diabetes mellitus using a short-term memory recurrent neural network. They confirmed that the prediction results were correct, and this might help choose when to and when not to utilize medical resources during polluted weather [ 12 ]. R. Yasashvini et al classified diabetic retinopathy using the CNN and hybrid deep convolutional neural network.…”