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 …
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 …
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 …
Development and external evaluation of predictions models for mortality of COVID-19 patients using machine learning method
S Li, Y Lin, T Zhu, M Fan, S Xu, W Qiu, C Chen… - Neural Computing and …, 2023 - Springer
To predict the mortality of patients with coronavirus disease 2019 (COVID-19). We collected
clinical data of COVID-19 patients between January 18 and March 29 2020 in Wuhan …
clinical data of COVID-19 patients between January 18 and March 29 2020 in Wuhan …
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 …
Clinical and laboratory predictors of in-hospital mortality in patients with coronavirus disease-2019: a cohort study in Wuhan, China
K Wang, P Zuo, Y Liu, M Zhang, X Zhao… - Clinical infectious …, 2020 - academic.oup.com
Background This study aimed to develop mortality-prediction models for patients with
coronavirus disease-2019 (COVID-19). Methods The training cohort included consecutive …
coronavirus disease-2019 (COVID-19). Methods The training cohort included consecutive …
Exploration of prognostic factors for critical COVID-19 patients using a nomogram model
J Li, L Wang, C Liu, Z Wang, Y Lin, X Dong, R Fan - Scientific reports, 2021 - nature.com
The study aimed to explore the influencing factors on critical coronavirus disease 2019
(COVID-19) patients' prognosis and to construct a nomogram model to predict the mortality …
(COVID-19) patients' prognosis and to construct a nomogram model to predict the mortality …
Characteristic of 523 COVID-19 in henan province and a death prediction model
X Ma, A Li, M Jiao, Q Shi, X An, Y Feng, L Xing… - Frontiers in Public …, 2020 - frontiersin.org
Certain high-risk factors related to the death of COVID-19 have been reported, however,
there were few studies on a death prediction model. This study was conducted to delineate …
there were few studies on a death prediction model. This study was conducted to delineate …
Clinical characteristics and a decision tree model to predict death outcome in severe COVID-19 patients
Q Yang, J Li, Z Zhang, X Wu, T Liao, S Yu, Z You… - BMC infectious …, 2021 - Springer
Background The novel coronavirus disease 2019 (COVID-19) spreads rapidly among
people and causes a pandemic. It is of great clinical significance to identify COVID-19 …
people and causes a pandemic. It is of great clinical significance to identify COVID-19 …
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 …
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