A machine learning approach using endpoint adjudication committee labels for the identification of sepsis predictors at the emergency department
MSA Niemantsverdriet, TAP de Hond, IE Hoefer… - BMC Emergency …, 2022 - Springer
Accurate sepsis diagnosis is paramount for treatment decisions, especially at the emergency
department (ED). To improve diagnosis, clinical decision support (CDS) tools are being …
department (ED). To improve diagnosis, clinical decision support (CDS) tools are being …
Diagnosis extraction from unstructured Dutch echocardiogram reports using span-and document-level characteristic classification
B Arends, M Vessies, D van Osch, A Teske… - arXiv preprint arXiv …, 2024 - arxiv.org
Clinical machine learning research and AI driven clinical decision support models rely on
clinically accurate labels. Manually extracting these labels with the help of clinical specialists …
clinically accurate labels. Manually extracting these labels with the help of clinical specialists …
[引用][C] A machine learning approach using endpoint adjudication committee labels for the identification of sepsis predictors at the emergency department
JJ Oosterheert, HAH Kaasjager, S Haitjema - Early recognition of sepsis at the emergency …