Rule-Based Electronic Sepsis Alerts Identify High-Risk Patients Despite Poor Diagnostic Accuracy: A Real-World Evaluation and Implications for Machine Learning

Read full text
Authors: Eanna L Lowney, Steven Hirth, Laura Fanning, Graeme J. Duke, Owen S. Roodenburg
Cited by: 0
References: 32

Fields of Study & Subjects

Sepsis Diagnosis and Treatment Electronic Health Records Systems Machine Learning in Healthcare

Publication details

Journal / source
Research Square
Publication date
13 January 2026
Document type
Preprint