A model to predict the risk of mortality in severely ill COVID-19 patients-Reference-Cited by-同舟云学术

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A model to predict the risk of mortality in severely ill COVID-19 patients

Published:2021 Issue: Volume:19 Page:1694-1700
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Chen Bo,Gu Hong-Qiu,Liu (刘艺) Yi,Zhang Guqin,Yang Hang,Hu Huifang,Lu Chenyang,Li Yang,Wang Liyi,Liu (刘毅) Yi,Zhao Yi,Pan Huaqin

Funder

National Natural Science Foundation of China

Sichuan University

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference19 articles.

1. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72314 cases from the chinese center for disease control and prevention;Wu;JAMA,2020

2. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study;Zhou;Lancet,2020

3. Diagnostic performance of initial blood urea nitrogen combined with D-dimer levels for predicting in-hospital mortality in COVID-19 patients;Cheng;Int J Antimicrob Agents,2020

4. Risk factors associated with mortality among patients with COVID-19 in intensive care units in Lombardy, Italy;Grasselli;JAMA Intern Med,2020

5. Factors associated with death in critically ill patients with coronavirus disease 2019 in the US;Gupta;JAMA Intern Med,2020

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Correlation of Age with Thrombocytes and D-Dimer Values in COVID-19 Patients at Hospital X in Jakarta, Indonesia;KESMAS;2024

2. Development and validation of a prediction model for mortality in critically ill COVID-19 patients;Frontiers in Cellular and Infection Microbiology;2024-06-24

3. COV-TabNet: Investigating the Influence of Underlying Disease on COVID-19 Patients;Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science;2023-10-20

4. Machine learning-based mortality prediction models for smoker COVID-19 patients;BMC Medical Informatics and Decision Making;2023-07-21

5. Construction and Validation of Mortality Risk Nomograph Model for Severe/Critical Patients with COVID-19;Diagnostics;2022-10-21

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