A clinical decision web to predict ICU admission or death for patients hospitalised with COVID-19 using machine learning algorithms
R Aznar-Gimeno, LM Esteban… - International Journal of …, 2021 - mdpi.com
The purpose of the study was to build a predictive model for estimating the risk of ICU
admission or mortality among patients hospitalized with COVID-19 and provide a user …
admission or mortality among patients hospitalized with COVID-19 and provide a user …
Using machine learning to predict mortality for COVID-19 patients on day 0 in the ICU
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 …
of infection, there is an urgent need for early prediction of the severity of the disease in …
Machine learning prediction for COVID-19 disease severity at hospital admission
G Raman, B Ashraf, YK Demir, CD Kershaw… - BMC Medical Informatics …, 2023 - Springer
Importance Early prognostication of patients hospitalized with COVID-19 who may require
mechanical ventilation and have worse outcomes within 30 days of admission is useful for …
mechanical ventilation and have worse outcomes within 30 days of admission is useful for …
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients
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) …
COVID-19 progression, by focusing on the task of predicting ICU admission within (any of) …
[HTML][HTML] Prognostic assessment of COVID-19 in the intensive care unit by machine learning methods: model development and validation
P Pan, Y Li, Y Xiao, B Han, L Su, M Su, Y Li… - Journal of medical …, 2020 - jmir.org
Background Patients with COVID-19 in the intensive care unit (ICU) have a high mortality
rate, and methods to assess patients' prognosis early and administer precise treatment are …
rate, and methods to assess patients' prognosis early and administer precise treatment are …
[HTML][HTML] An easy-to-use machine learning model to predict the prognosis of patients with COVID-19: retrospective cohort study
HJ Kim, D Han, JH Kim, D Kim, B Ha, W Seog… - Journal of medical …, 2020 - jmir.org
Background Prioritizing patients in need of intensive care is necessary to reduce the
mortality rate during the COVID-19 pandemic. Although several scoring methods have been …
mortality rate during the COVID-19 pandemic. Although several scoring methods have been …
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 …
to predict whether patients diagnosed with CoVid-19 (CoronaVirus disease 2019) will need …
[HTML][HTML] Prediction of patients with COVID-19 requiring intensive care: A cross-sectional study based on machine-learning approach from Iran
Background Prioritizing the patients requiring intensive care may decrease the fatality of
coronavirus disease-2019 (COVID-19). Aims and objectives To develop, validate, and …
coronavirus disease-2019 (COVID-19). Aims and objectives To develop, validate, and …
Utilization of machine-learning models to accurately predict the risk for critical COVID-19
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 …
for deterioration during their hospital stay is essential for effective patient allocation and …
Machine learning algorithms for predicting determinants of COVID-19 mortality in South Africa
E Chimbunde, LN Sigwadhi, JL Tamuzi… - Frontiers in Artificial …, 2023 - frontiersin.org
Background COVID-19 has strained healthcare resources, necessitating efficient
prognostication to triage patients effectively. This study quantified COVID-19 risk factors and …
prognostication to triage patients effectively. This study quantified COVID-19 risk factors and …