Kevin Beatson

A comparative study of explainable ensemble learning and logistic regression for predicting in-hospital mortality in the emergency department

Impact of a deep learning sepsis prediction model on quality of care and survival

Development and External Validation of an Automated Computer-Aided Risk Score for Predicting Sepsis in Emergency Medical Admissions Using the Patient’s First Electronically Recorded Vital Signs and Blood Test Results*

A comparison of logistic regression models with alternative machine learning methods to predict the risk of in-hospital mortality in emergency medical admissions via external validation