A new automated system identified far more sepsis infections than 2 commonly used methods, researchers report.
Researchers analyzed data in patients’ electronic health records to find details associated with a higher likelihood of test positivity.
A newly developed machine-learning technique examines electronic medical records to predict the danger of severe sepsis in emergency department patients.
