Using machine learning in prediction of ICU admission, mortality, and length of stay in the early stage of admission of COVID-19 patients

S Saadatmand, K Salimifard, R Mohammadi… - Annals of Operations …, 2023 - Springer
The recent COVID-19 pandemic has affected health systems across the world. Especially,
Intensive Care Units (ICUs) have played a pivotal role in the treatment of critically-ill patients …

A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients

L Famiglini, A Campagner, A Carobene… - Medical & biological …, 2022 - Springer
In this article, we discuss the development of prognostic machine learning (ML) models for
COVID-19 progression, by focusing on the task of predicting ICU admission within (any of) …

Machine learning techniques to predict different levels of hospital care of CoVid-19

E Hernández-Pereira, O Fontenla-Romero… - Applied …, 2022 - Springer
In this study, we analyze the capability of several state of the art machine learning methods
to predict whether patients diagnosed with CoVid-19 (CoronaVirus disease 2019) will need …

Using machine learning to predict mortality for COVID-19 patients on day 0 in the ICU

E Jamshidi, A Asgary, N Tavakoli, A Zali… - Frontiers in digital …, 2022 - frontiersin.org
Rationale: Given the expanding number of COVID-19 cases and the potential for new waves
of infection, there is an urgent need for early prediction of the severity of the disease in …

The machine learning approach for predicting the number of intensive care, intubated patients and death: The COVID-19 pandemic in Turkey

P Cihan - Sigma Journal of Engineering and Natural Sciences, 2022 - dergipark.org.tr
The coronavirus infection outbreak started in Wuhan city, China, in December 2019 (COVID-
19) and affected more than 200 countries in a year. The number of patients dying from and …

Utilization of machine-learning models to accurately predict the risk for critical COVID-19

D Assaf, Y Gutman, Y Neuman, G Segal, S Amit… - Internal and emergency …, 2020 - Springer
Among patients with Coronavirus disease (COVID-19), the ability to identify patients at risk
for deterioration during their hospital stay is essential for effective patient allocation and …

[HTML][HTML] Machine learning model for predicting the length of stay in the intensive care unit for COVID-19 patients in the eastern province of Saudi Arabia

DA Alabbad, AM Almuhaideb, SJ Alsunaidi… - Informatics in medicine …, 2022 - Elsevier
The COVID-19 virus has spread rapidally throughout the world. Managing resources is one
of the biggest challenges that healthcare providers around the world face during the …

Machine learning to predict ICU admission, ICU mortality and survivors' length of stay among COVID-19 patients: toward optimal allocation of ICU resources

T Dan, Y Li, Z Zhu, X Chen, W Quan… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
COVID-19 causes burdens to the ICU. Evidence-based planning and optimal allocation of
the scarce ICU resources is urgently needed but remains unaddressed. This study aims to …

A machine learning model for predicting deterioration of COVID-19 inpatients

O Noy, D Coster, M Metzger, I Atar… - Scientific reports, 2022 - nature.com
The COVID-19 pandemic has been spreading worldwide since December 2019, presenting
an urgent threat to global health. Due to the limited understanding of disease progression …

Prediction of patients with COVID-19 requiring intensive care: a cross-sectional study based on machine-learning approach from Iran

G Sabetian, A Azimi, A Kazemi, N Asmarian… - Indian Journal of Critical …, 2022 - ijccm.org
Background: Prioritizing the patients requiring intensive care may decrease the fatality of
coronavirus disease-2019 (COVID-19). Aims and objectives: To develop, validate, and …