Mortality prediction utilizing blood biomarkers to predict the severity of COVID-19 using machine learning technique
T Rahman, FA Al-Ishaq, FS Al-Mohannadi… - Diagnostics, 2021 - mdpi.com
Healthcare researchers have been working on mortality prediction for COVID-19 patients
with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity …
with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity …
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 …
Development and validation of an early scoring system for prediction of disease severity in COVID-19 using complete blood count parameters
The coronavirus disease 2019 (COVID-19) after outbreaking in Wuhan increasingly spread
throughout the world. Fast, reliable, and easily accessible clinical assessment of the severity …
throughout the world. Fast, reliable, and easily accessible clinical assessment of the severity …
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 …
Predicting in-hospital mortality of patients with COVID-19 using machine learning techniques
F Tezza, G Lorenzoni, D Azzolina, S Barbar… - Journal of Personalized …, 2021 - mdpi.com
The present work aims to identify the predictors of COVID-19 in-hospital mortality testing a
set of Machine Learning Techniques (MLTs), comparing their ability to predict the outcome …
set of Machine Learning Techniques (MLTs), comparing their ability to predict the outcome …
Early prediction of mortality risk among patients with severe COVID-19, using machine learning
Abstract Background Coronavirus disease 2019 (COVID-19), caused by severe acute
respiratory syndrome coronavirus 2 infection, has been spreading globally. We aimed to …
respiratory syndrome coronavirus 2 infection, has been spreading globally. We aimed to …
[HTML][HTML] An artificial neural network model to predict the mortality of COVID-19 patients using routine blood samples at the time of hospital admission: development …
Background: In a pandemic situation (eg, COVID-19), the most important issue is to select
patients at risk of high mortality at an early stage and to provide appropriate treatments …
patients at risk of high mortality at an early stage and to provide appropriate treatments …
Predictive machine learning models and survival analysis for covid-19 prognosis based on hematochemical parameters
The coronavirus disease 2019 (COVID-19) pandemic has affected hundreds of millions of
individuals and caused millions of deaths worldwide. Predicting the clinical course of the …
individuals and caused millions of deaths worldwide. Predicting the clinical course of the …
Clinical and inflammatory features based machine learning model for fatal risk prediction of hospitalized COVID-19 patients: results from a retrospective cohort study
X Guan, B Zhang, M Fu, M Li, X Yuan, Y Zhu… - Annals of …, 2021 - Taylor & Francis
Objectives To appraise effective predictors for COVID-19 mortality in a retrospective cohort
study. Methods A total of 1270 COVID-19 patients, including 984 admitted in Sino French …
study. Methods A total of 1270 COVID-19 patients, including 984 admitted in Sino French …
Multivariable mortality risk prediction using machine learning for COVID-19 patients at admission (AICOVID)
S Kar, R Chawla, SP Haranath, S Ramasubban… - Scientific reports, 2021 - nature.com
Abstract In Coronavirus disease 2019 (COVID-19), early identification of patients with a high
risk of mortality can significantly improve triage, bed allocation, timely management, and …
risk of mortality can significantly improve triage, bed allocation, timely management, and …
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