Feb 22, 2022 · This study aims to evaluate classification models predicting the admission or discharge of incidents triaged as level 3 according to the ...
AI-driven prediction for the disposition of medium-risk incidents visiting ...
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ABSTRACT. Emergency Departments globally suffer overcrowding due to the lack of adequate capacity and/or guidelines and policies for triag- ing patients.
Predictive analytics for hospital admissions from the emergency department using triage information · Medicine, Computer Science. International Journal of ...
Aug 22, 2024 · Abstract. The overwhelming volume of patients in emergency departments (EDs) is a significant problem that hinders the delivery of high quality ...
Missing: driven incidents
Title, AI-driven prediction for the disposition of medium-risk incidents visiting emergency departments ; Publication Type, Conference Paper ; Authors, Ketseridou ...
Oct 23, 2024 · Experts used machine learning techniques to analyze the dataset and developed SPARRAv4 to predict which patients might require emergency ...
Missing: disposition medium- incidents
A computer-assisted system for early mortality risk prediction in patients with TBI using AI algorithms in emergency room triage, Retrospective Observational ...
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Dec 3, 2024 · The AI model was trained and tested on a dataset of 237,059 ED visits. The algorithm's predictions, based solely on triage information, ...
Artificial intelligence (AI) has the potential to transform many aspects of emergency medicine, from diagnosis and treatment of conditions to management of ...
Missing: incidents | Show results with:incidents
Sep 30, 2021 · Our model offers a reliable prediction of hospital admission using very limited variables that could be obtained by the patients themselves.
Missing: driven incidents