Construction of Risk Prediction Model of Type 2 Diabetic Kidney Disease Based on Deep Learning.

The developed DKD risk predictive model using LSTM neural networks demonstrated high accuracy and AUC value. When HbA1c, SBP, and PP variabilities were added to the model as featured characteristics, the model's performance was greatly improved.