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Peer-Reviewed Evidence
Publication
Impact of a deep learning sepsis prediction model on quality of care and survival
Publication
Artificial intelligence sepsis prediction algorithm learns to say “I don’t know”
Publication
DeepAISE – An interpretable and recurrent neural survival model for early prediction of sepsis
Publication
Predicting Progression to Septic Shock in the Emergency Department Using an Externally Generalizable Machine-Learning Algorithm
Publication
Bringing the Promise of Artificial Intelligence to Critical Care: What the Experience With Sepsis Analytics Can Teach Us
Publication
An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU
Publication
A machine-learning algorithm for diagnosis of multisystem inflammatory syndrome in children and Kawasaki disease in the USA: a retrospective model development and validation study
Publication
Representation Learning and Spectral Clustering for the Development and External Validation of Dynamic Sepsis Phenotypes: Observational Cohort Study
Abstract
Domain Adaptation for Robust Predictive Modeling Across Racial Groups
Publication
Development and Prospective Validation of a Deep Learning Algorithm for Predicting Need for Mechanical Ventilation
Publication
Inclusion of social determinants of health improves sepsis readmission prediction models
Publication
Prediction of Unplanned Hospital Readmission using Clinical and Longitudinal Wearable Sensor Features
Publication
Leveraging clinical data across healthcare institutions for continual learning of predictive risk models
Publication
Optimizing the Implementation of Clinical Predictive Models to Minimize National Costs: Sepsis Case Study