Comparative Performance of a Recurrent Neural Network (RNN) and Logistic Regression (LR) Model to Predict Diabetic Ketoacidosis (DKA) among Youth Post-Diagnosis with Type 1 Diabetes (T1D)

Preventing dangerous and costly episodes of DKA is a goal of diabetes care, but clinicians currently lack the tools to predict DKA events. This study sought to compare performance characteristics of an RNN model with that of a LR model to predict hospital admission for DKA in the next 180 days.