[HTML][HTML] Early prediction model for critical illness of hospitalized COVID-19 patients based on machine learning techniques
Y Fu, W Zhong, T Liu, J Li, K Xiao, X Ma, L Xie… - Frontiers in Public …, 2022 - frontiersin.org
Motivation Patients with novel coronavirus disease 2019 (COVID-19) worsen into critical
illness suddenly is a matter of great concern. Early identification and effective triaging of …
illness suddenly is a matter of great concern. Early identification and effective triaging of …
554 machine learning for prediction of in-hospital mortality in COVID-19 patients: results from an Italian multicentre study
S Paris, RM Inciardi, C Specchia… - European Heart …, 2021 - academic.oup.com
Aims Several risk factors have been identified to predict worse outcomes in patients affected
by SARS-CoV-2 infection. Prediction models are needed to optimize clinical management …
by SARS-CoV-2 infection. Prediction models are needed to optimize clinical management …
Prediction of COVID-19 Mortality in the Intensive Care Unit Using Machine Learning.
A Sakagianni, C Koufopoulou, VS Verykios, E Loupelis… - MIE, 2023 - ebooks.iospress.nl
Since its emergence, the COVID-19 pandemic still poses a major global health threat. In this
setting, a number of useful machine learning applications have been explored to assist …
setting, a number of useful machine learning applications have been explored to assist …
[HTML][HTML] Use of Artificial Intelligence to Predict Intensive Care Admission or Death in Patients Hospitalised for COVID-19: The PREDICT-COVID Study
M Ducher, C Elias, N Florens, M Granal… - Archives of Clinical …, 2022 - fortuneonline.org
Purpose: Propose a carefully developed prediction clinical tool to predict unfavourable
outcome at admission of a SARS-CoV2–infected patient. Methods: This study is a post-hoc …
outcome at admission of a SARS-CoV2–infected patient. Methods: This study is a post-hoc …
Predicting Mortality in COVID-19 Patients Using 6 Machine Learning Algorithms.
In late 2019, COVID-19 appeared and has since spread worldwide as the new pandemic,
causing more than 6 million deaths. In dealing with this global crisis, the contribution of …
causing more than 6 million deaths. In dealing with this global crisis, the contribution of …
[HTML][HTML] Early prediction of in-hospital death of COVID-19 patients: a machine-learning model based on age, blood analyses, and chest x-ray score
An early-warning model to predict in-hospital mortality on admission of COVID-19 patients at
an emergency department (ED) was developed and validated using a machine-learning …
an emergency department (ED) was developed and validated using a machine-learning …
Early prediction of mortality risk among severe COVID-19 patients using machine learning
ABSTRACT BackgroundCoronavirus disease 2019 (COVID-19) caused by severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been spreading globally …
respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been spreading globally …
61. Using Machine Learning for Prediction of Poor Clinical Outcomes in Adult Patients Hospitalized with COVID-19
G Rodriguez-Nava, DP Trelles-Garcia… - Open Forum …, 2020 - academic.oup.com
Background As the ongoing COVID-19 pandemic develops, there is a need for prediction
rules to guide clinical decisions. Previous reports have identified risk factors using statistical …
rules to guide clinical decisions. Previous reports have identified risk factors using statistical …
[HTML][HTML] Predictive modeling of morbidity and mortality in patients hospitalized with COVID-19 and its clinical implications: algorithm development and interpretation
Background: The COVID-19 pandemic began in early 2021 and placed significant strains on
health care systems worldwide. There remains a compelling need to analyze factors that are …
health care systems worldwide. There remains a compelling need to analyze factors that are …