European journal of emergency medicine : official journal of the European Society for Emergency Medicine
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Acute dyspnoea is a common symptom in Emergency Medicine, and severity assessment is difficult during the first time the patient calls the Emergency Medical Call Centre. ⋯ During first calls for dyspnoea, six predictive factors are independently associated with the risk of early requirement of respiratory support.
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Observational Study
Using emergency department triage for machine learning-based admission and mortality prediction.
Patient admission is a decision relying on sparsely available data. This study aims to provide prediction models for discharge versus admission for ward observation or intensive care, and 30 day-mortality for patients triaged with the Manchester Triage System. ⋯ Machine learning can provide prediction on discharge versus admission to general wards and intensive care and inform about risk on 30 day-mortality for patients in the emergency department.