Evidence
Abstract: Comparative performance of a recurrent neural network (RNN) and logistic regression (LR) model to predict diabetic ketoacidosis (DKA) among youth with established type 1 diabetes (T1D)
Authors: David D. Williams, Sarina Dass, Jon Bass, Susana Patton, Sanjeev Mehta, Ryan McDonough, Colin Mullaney, Leonard D’Avolio, Mark Clements Preventing dangerous and costly episodes
Remote Patient Monitoring
Youth in the United States collectively exhibit deterioration in glycemic control between the ages of 8 and 18, with small improvements beginning to show from