Clinically applicable approach for predicting mechanical ventilation in patients with COVID-19-Reference-Cited by-同舟云学术

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Clinically applicable approach for predicting mechanical ventilation in patients with COVID-19

Published:2021-03 Issue:3 Volume:126 Page:578-589
ISSN:0007-0912
Container-title:British Journal of Anaesthesia
language:en
Short-container-title:British Journal of Anaesthesia

Author:

Douville Nicholas J.,Douville Christopher B.,Mentz Graciela,Mathis Michael R.,Pancaro Carlo,Tremper Kevin K.,Engoren Milo

Funder

National Institutes of Health

Foundation for Anesthesia Education and Research

Publisher

Elsevier BV

Subject

Anesthesiology and Pain Medicine

Reference30 articles.

1. Naming the coronavirus disease (COVID-19) and the virus that causes it;World Health Organization,2020

2. Clinical characteristics of fatal and recovered cases of coronavirus disease 2019 in Wuhan, China: a retrospective study;Deng;Chin Med J,2020

3. A novel coronavirus from patients with pneumonia in China, 2019;Zhu;N Engl J Med,2020

4. COVID-19-related severe hypercoagulability in patients admitted to intensive care unit for acute respiratory failure;Spiezia;Thromb Haemost,2020

5. Neurological manifestations of hospitalized patients with COVID-19 in Wuhan, China: a retrospective case series study;Mao;JAMA Neurol,2020

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1. A Machine Learning-Based Web Tool for the Severity Prediction of COVID-19;BioTech;2024-07-01

2. Machine learning modelling for predicting the utilization of invasive and non‐invasive ventilation throughout the ICU duration;Healthcare Technology Letters;2024-02-20

3. Machine Learning for Benchmarking Critical Care Outcomes;Healthcare Informatics Research;2023-10-31

4. Prediction of prognosis in COVID-19 patients using machine learning: A systematic review and meta-analysis;International Journal of Medical Informatics;2023-09

5. Identification and verification of novel immune-related ferroptosis signature with excellent prognostic predictive and clinical guidance value in hepatocellular carcinoma;Frontiers in Genetics;2023-08-21

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