Clinical decision support systems for triage in the emergency department using intelligent systems: a review

M Fernandes, SM Vieira, F Leite, C Palos… - Artificial Intelligence in …, 2020 - Elsevier
Abstract Motivation Emergency Departments'(ED) modern triage systems implemented
worldwide are solely based upon medical knowledge and experience. This is a limitation of …

Using explainable machine learning to characterise data drift and detect emergent health risks for emergency department admissions during COVID-19

C Duckworth, FP Chmiel, DK Burns, ZD Zlatev… - Scientific reports, 2021 - nature.com
A key task of emergency departments is to promptly identify patients who require hospital
admission. Early identification ensures patient safety and aids organisational planning …

Benchmarking emergency department prediction models with machine learning and public electronic health records

F ** a prediction model of hospital admission of emergency department patients: Hype or hope?
A De Hond, W Raven, L Schinkelshoek… - International journal of …, 2021 - Elsevier
Objective Early identification of emergency department (ED) patients who need
hospitalization is essential for quality of care and patient safety. We aimed to compare …

[HTML][HTML] A comparative study of supervised machine learning approaches to predict patient triage outcomes in hospital emergency departments

H Elhaj, N Achour, MH Tania, K Aciksari - Array, 2023 - Elsevier
Background The inconsistency in triage evaluation in emergency departments (EDs) and the
limitations in practice within the standard triage tools among triage nurses have led …

[HTML][HTML] Leveraging large-scale electronic health records and interpretable machine learning for clinical decision making at the emergency department: protocol for …

N Liu, F **e, FJ Siddiqui, AFW Ho… - JMIR Research …, 2022 - researchprotocols.org
Background: There is a growing demand globally for emergency department (ED) services.
An increase in ED visits has resulted in overcrowding and longer waiting times. The triage …