Though predictive tools are widely used in the healthcare setting, there are no official rubrics or guidelines for evaluation or requirements for consistent regulatory oversight....
Bayesian Health's platform drove faster treatment for sepsis, with high provider adoption. A large, five site study analyzing use and practice impact over two years...
Development and validation of ARC, a model for Anticipating Acute Respiratory Failure in COVID-19 patients Many hospitalized COVID patients experience acute respiratory failure (ARF), but it...
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction Predicting events using clinical data is challenging because individual data points are often missing and/or noisy. For a...
A targeted real-time early warning score (TREWScore) for septic shock Sepsis is a leading cause of death, contributing to 1 in every 2 or 3 hospital...
Comparison of Automated Sepsis Identification Methods and Electronic Health Record–based Sepsis Phenotyping: Improving Case Identification Accuracy by Accounting for Confounding Comorbid Conditions In order to train...