Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression

F Zhou, T Chen, B Lei - arXiv preprint arXiv:2006.16942, 2020 - arxiv.org
Amid the ongoing COVID-19 pandemic, whether COVID-19 patients with high risks can be
recovered or not depends, to a large extent, on how early they will be treated appropriately …

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 …

An ensemble prediction model for COVID-19 mortality risk

J Li, X Li, J Hutchinson, M Asad, Y Liu… - Biology Methods and …, 2022 - academic.oup.com
Background It's critical to identify COVID-19 patients with a higher death risk at early stage to
give them better hospitalization or intensive care. However, thus far, none of the machine …

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 …

A machine-learning parsimonious multivariable predictive model of mortality risk in patients with Covid-19

R Murri, J Lenkowicz, C Masciocchi, C Iacomini… - Scientific Reports, 2021 - nature.com
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 …

[HTML][HTML] A machine learning-based model for survival prediction in patients with severe COVID-19 infection

L Yan, H Zhang, J Goncalves, Y Xiao, M Wang, Y Guo… - 2020 - europepmc.org
The sudden increase of COVID-19 cases is putting a high pressure on healthcare services
worldwide. At the current stage, fast, accurate and early clinical assessment of the disease …

Early prediction of mortality risk among severe COVID-19 patients using machine learning

X Chen, Z Liu - 2020 - pesquisa.bvsalud.org
ABSTRACT BackgroundCoronavirus disease 2019 (COVID-19) caused by severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been spreading globally …

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 …

Identification of hospitalized mortality of patients with COVID-19 by machine learning models based on blood inflammatory cytokines

Z Yu, X Li, J Zhao, S Sun - Frontiers in Public Health, 2022 - frontiersin.org
Coronavirus disease 2019 (COVID-19) spread worldwide and presented a significant threat
to people's health. Inappropriate disease assessment and treatment strategies bring a heavy …

Identifying predictors of COVID-19 mortality using machine learning

TK Wan, RX Huang, TW Tulu, JD Liu, A Vodencarevic… - Life, 2022 - mdpi.com
(1) Background: Coronavirus disease 2019 (COVID-19) is a dominant, rapidly spreading
respiratory disease. However, the factors influencing COVID-19 mortality still have not been …