A machine learning approach using endpoint adjudication committee labels for the identification of sepsis predictors at the emergency department
Accurate sepsis diagnosis is paramount for treatment decisions, especially at the emergency department (ED). To improve diagnosis, clinical decision support (CDS) tools are being developed with machine learnin...
Source: BMC Emergency Medicine - Category: Emergency Medicine Authors: Michael S. A. Niemantsverdriet, Titus A. P. de Hond, Imo E. Hoefer, Wouter W. van Solinge, Domenico Bellomo, Jan Jelrik Oosterheert, Karin A. H. Kaasjager and Saskia Haitjema Tags: Research Source Type: research