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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.

By |2020-06-16T11:55:25-04:00June 16th, 2020|Analytics, Blogs & Whitepapers, Real World Applications|

Whitepaper: Strategies for Prioritizing Outreach to Prevent COVID-19 Related Hospitalizations

With the risk of COVID-19 overwhelming hospital systems, many healthcare organizations are considering how best to use their existing resources (primary care providers, advanced practitioners, nurses, care managers, etc.) to help prevent COVID-19 related hospital admissions.

By |2020-05-28T13:50:15-04:00April 16th, 2020|Analytics, Blogs & Whitepapers, COVID-19, Real World Applications|