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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|

Blog: 7 Ways We’re Screwing Up AI in Healthcare

The healthcare AI space is frothy. Billions in venture capital are flowing, nearly every writer on the healthcare beat has at least an article or two on the topic, and there isn’t a medical conference that doesn’t at least have a panel if not a dedicated day to discuss. The promise and potential is very real.