Demystifying COVID-19 mortality causes with interpretable data mining
X Qian, Z Zuo, D Xu, S He, C Zhou, Z Wang, S Xie… - Scientific Reports, 2024 - nature.com
While COVID-19 becomes periodical, old individuals remain vulnerable to severe disease
with high mortality. Although there have been some studies on revealing different risk factors …
with high mortality. Although there have been some studies on revealing different risk factors …
Machine learning-based scoring System for early prognosis Evaluation of patients with coronavirus disease 2019
HM Zhang, L Shi, HR Chen, JD Zhang… - Infectious Diseases & …, 2023 - mednexus.org
Background: The global spread of coronavirus disease 2019 (COVID-19) continues to
threaten human health security, exerting considerable pressure on healthcare systems …
threaten human health security, exerting considerable pressure on healthcare systems …
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 …
to people's health. Inappropriate disease assessment and treatment strategies bring a heavy …
An early warning tool for predicting mortality risk of COVID-19 patients using machine learning
COVID-19 pandemic has created an extreme pressure on the global healthcare services.
Fast, reliable, and early clinical assessment of the severity of the disease can help in …
Fast, reliable, and early clinical assessment of the severity of the disease can help in …
Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression
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 …
recovered or not depends, to a large extent, on how early they will be treated appropriately …
Development of Biomarkers and Prognosis Model of Mortality Risk in Patients with COVID-19
Z Zhang, L Tang, Y Guo, X Guo, Z Pan… - Journal of …, 2024 - Taylor & Francis
Background As of 30 April 2023, the COVID-19 pandemic has resulted in over 6.9 million
deaths worldwide. The virus continues to spread and mutate, leading to continuously …
deaths worldwide. The virus continues to spread and mutate, leading to continuously …
Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkers
TW Tulu, TK Wan, CL Chan, CH Wu, PYM Woo… - BMC Digital Health, 2023 - Springer
COVID-19 mortality prediction Background COVID-19 has become a major global public
health problem, despite prevention and efforts. The daily number of COVID-19 cases rapidly …
health problem, despite prevention and efforts. The daily number of COVID-19 cases rapidly …
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 …
Generalizable machine learning approach for COVID-19 mortality risk prediction using on-admission clinical and laboratory features
We aimed to propose a mortality risk prediction model using on-admission clinical and
laboratory predictors. We used a dataset of confirmed COVID-19 patients admitted to three …
laboratory predictors. We used a dataset of confirmed COVID-19 patients admitted to three …
Machine learning successfully detects patients with COVID-19 prior to PCR results and predicts their survival based on standard laboratory parameters in an …
F Styrzynski, D Zhakparov, M Schmid… - Infectious Diseases and …, 2023 - Springer
Introduction In the current COVID-19 pandemic, clinicians require a manageable set of
decisive parameters that can be used to (i) rapidly identify SARS-CoV-2 positive patients,(ii) …
decisive parameters that can be used to (i) rapidly identify SARS-CoV-2 positive patients,(ii) …