Prediction of length of stay in the emergency department for COVID-19 patients: A machine learning approach

EE Etu, L Monplaisir, S Arslanturk, S Masoud… - IEEE …, 2022 - ieeexplore.ieee.org
The coronavirus disease (COVID-19) outbreak has become a global public health threat.
The influx of COVID-19 patients has prolonged the length of stay (LOS) in the emergency …

Predicting 30‐day return hospital admissions in patients with COVID‐19 discharged from the emergency department: a national retrospective cohort study

DG Beiser, ZJ Jarou, AA Kassir… - Journal of the …, 2021 - Wiley Online Library
Objectives Identification of patients with coronavirus disease 2019 (COVID‐19) at risk for
deterioration after discharge from the emergency department (ED) remains a clinical …

A novel evidence-based predictor tool for hospitalization and length of stay: insights from COVID-19 patients in New York city

M El Halabi, J Feghali, J Bahk, P Tallón de Lara… - Internal and Emergency …, 2022 - Springer
Predictive models for key outcomes of coronavirus disease 2019 (COVID-19) can optimize
resource utilization and patient outcome. We aimed to design and internally validate a web …

[HTML][HTML] A machine learning algorithm predicts duration of hospitalization in COVID-19 patients

J Ebinger, M Wells, D Ouyang, T Davis… - Intelligence-based …, 2021 - Elsevier
The COVID-19 pandemic has placed unprecedented strain on the healthcare system,
particularly hospital bed capacity in the setting of large variations in patient length of stay …

Early risk assessment for COVID-19 patients from emergency department data using machine learning

FS Heldt, MP Vizcaychipi, S Peacock, M Cinelli… - Scientific reports, 2021 - nature.com
Since its emergence in late 2019, the severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2) has caused a pandemic with more than 55 million reported cases and 1.3 …

Worsening of emergency department length of stay during the COVID‐19 pandemic

A Lucero, K Sokol, J Hyun, L Pan… - Journal of the …, 2021 - Wiley Online Library
Objective Our study sought to determine whether there was a change in emergency
department (ED) length of stay (LOS) during the coronavirus disease 2019 (COVID‐19) …

Prediction of COVID-19 hospital length of stay and risk of death using artificial intelligence-based modeling

B Mahboub, MTA Bataineh, H Alshraideh… - Frontiers in …, 2021 - frontiersin.org
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a highly infectious virus
with overwhelming demand on healthcare systems, which require advanced predictive …

Predicting hospitalization of COVID-19 positive patients using clinician-guided machine learning methods

W Song, L Zhang, L Liu, M Sainlaire… - Journal of the …, 2022 - academic.oup.com
Objectives The coronavirus disease 2019 (COVID-19) is a resource-intensive global
pandemic. It is important for healthcare systems to identify high-risk COVID-19-positive …

An interactive tool to forecast US hospital needs in the coronavirus 2019 pandemic

KJ Locey, TA Webb, J Khan, AK Antony, B Hota - JAMIA open, 2020 - academic.oup.com
Objective We developed an application (https://rush-covid19. herokuapp. com/) to aid US
hospitals in planning their response to the ongoing Coronavirus Disease 2019 (COVID-19) …

A comparison of univariate and multivariate forecasting models predicting emergency department patient arrivals during the COVID-19 pandemic

EE Etu, L Monplaisir, S Masoud, S Arslanturk… - Healthcare, 2022 - mdpi.com
The COVID-19 pandemic has heightened the existing concern about the uncertainty
surrounding patient arrival and the overutilization of resources in emergency departments …