[HTML][HTML] COVID mortality prediction with machine learning methods: a systematic review and critical appraisal
More than a year has passed since the report of the first case of coronavirus disease 2019
(COVID), and increasing deaths continue to occur. Minimizing the time required for resource …
(COVID), and increasing deaths continue to occur. Minimizing the time required for resource …
Prediction of prognosis in COVID-19 patients using machine learning: A systematic review and meta-analysis
R Chen, J Chen, S Yang, S Luo, Z Xiao, L Lu… - International Journal of …, 2023 - Elsevier
Background Accurate prediction of prognostic outcomes in patients with COVID-19 could
facilitate clinical decision-making and medical resource allocation. However, little is known …
facilitate clinical decision-making and medical resource allocation. However, little is known …
[HTML][HTML] Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19
As predicting the trajectory of COVID-19 is challenging, machine learning models could
assist physicians in identifying high-risk individuals. This study compares the performance of …
assist physicians in identifying high-risk individuals. This study compares the performance of …
[HTML][HTML] Clinical predictors of COVID-19 mortality
Background: The coronavirus disease 2019 (COVID-19) pandemic has affected over
millions of individuals and caused hundreds of thousands of deaths worldwide. It can be …
millions of individuals and caused hundreds of thousands of deaths worldwide. It can be …
[HTML][HTML] Machine learning based clinical decision support system for early COVID-19 mortality prediction
The coronavirus disease 2019 (COVID-19), caused by the virus SARS-CoV-2, is an acute
respiratory disease that has been classified as a pandemic by the World Health …
respiratory disease that has been classified as a pandemic by the World Health …
COVID-19 mortality prediction among patients using epidemiological parameters: an ensemble machine learning approach
Abstract Coronavirus infection (COVID-19) is a dangerous disease caused by the severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that has quickly spread all around …
acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that has quickly spread all around …
[HTML][HTML] 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 …
[HTML][HTML] Limited applicability of a COVID-19 specific mortality prediction rule to the intensive care setting
C Dupuis, E De Montmollin, M Neuville… - Nature Machine …, 2021 - nature.com
The least bad results were obtained at day 28, with a precision of 37%(positive predictive
value) and an accuracy of 43%, but a recall of 93%(negative predictive value). This decision …
value) and an accuracy of 43%, but a recall of 93%(negative predictive value). This decision …
[HTML][HTML] Comparing machine learning algorithms for predicting COVID-19 mortality
K Moulaei, M Shanbehzadeh… - BMC medical informatics …, 2022 - Springer
Background The coronavirus disease (COVID-19) hospitalized patients are always at risk of
death. Machine learning (ML) algorithms can be used as a potential solution for predicting …
death. Machine learning (ML) algorithms can be used as a potential solution for predicting …
[HTML][HTML] 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 …