A machine-learning parsimonious multivariable predictive model of mortality risk in patients with Covid-19
The COVID-19 pandemic is impressively challenging the healthcare system. Several
prognostic models have been validated but few of them are implemented in daily practice …
prognostic models have been validated but few of them are implemented in daily practice …
Machine-learning-derived predictive score for early estimation of COVID-19 mortality risk in hospitalized patients
A González-Cebrián, J Borràs-Ferrís… - PLoS …, 2022 - journals.plos.org
The clinical course of COVID-19 is highly variable. It is therefore essential to predict as early
and accurately as possible the severity level of the disease in a COVID-19 patient who is …
and accurately as possible the severity level of the disease in a COVID-19 patient who is …
[HTML][HTML] Unraveling complex relationships between COVID-19 risk factors using machine learning based models for predicting mortality of hospitalized patients and …
MM Banoei, H Rafiepoor, K Zendehdel… - Frontiers in …, 2023 - frontiersin.org
Background: At the end of 2019, the coronavirus disease 2019 (COVID-19) pandemic
increased the hospital burden of COVID-19 caused by the SARS-Cov-2 and became the …
increased the hospital burden of COVID-19 caused by the SARS-Cov-2 and became the …
Risk factor analysis and multiple predictive machine learning models for mortality in COVID-19: a multicenter and multi-ethnic cohort study
Y Shi, Y Qin, Z Zheng, P Wang, J Liu - The Journal of Emergency Medicine, 2023 - Elsevier
Background The COVID-19 pandemic presents a significant challenge to the global health
care system. Implementing timely, accurate, and cost-effective screening approaches is …
care system. Implementing timely, accurate, and cost-effective screening approaches is …
Predicting the mortality of patients with Covid‐19: A machine learning approach
H Emami, R Rabiei, S Sohrabei… - Health Science …, 2023 - Wiley Online Library
Abstract Background and Aims Infection with Covid‐19 disease can lead to mortality in a
short time. Early prediction of the mortality during an epidemic disease can save patients' …
short time. Early prediction of the mortality during an epidemic disease can save patients' …
Development and validation of prognosis model of mortality risk in patients with COVID-19
This study aimed to identify clinical features for prognosing mortality risk using machine-
learning methods in patients with coronavirus disease 2019 (COVID-19). A retrospective …
learning methods in patients with coronavirus disease 2019 (COVID-19). A retrospective …
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 …
[HTML][HTML] Reliable and interpretable mortality prediction with strong foresight in COVID-19 patients: an international study from China and Germany
Cohort-independent robust mortality prediction model in patients with COVID-19 infection is
not yet established. To build up a reliable, interpretable mortality prediction model with …
not yet established. To build up a reliable, interpretable mortality prediction model with …
Development and external validation of a COVID-19 mortality risk prediction algorithm: a multicentre retrospective cohort study
J Mei, W Hu, Q Chen, C Li, Z Chen, Y Fan, S Tian… - BMJ open, 2020 - bmjopen.bmj.com
Objective This study aimed to develop and externally validate a COVID-19 mortality risk
prediction algorithm. Design Retrospective cohort study. Setting Five designated tertiary …
prediction algorithm. Design Retrospective cohort study. Setting Five designated tertiary …
An interpretable mortality prediction model for COVID-19 patients–alternative approach
P Gemmar - MedRxiv, 2020 - medrxiv.org
The pandemic spread of coronavirus leads to increased burden on healthcare services
worldwide. Experience shows that required medical treatment can reach limits at local …
worldwide. Experience shows that required medical treatment can reach limits at local …
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