Evaluating the ability of the NLHA2 and artificial neural network models to predict COVID-19 severity, and comparing them with the four existing scoring systems-Reference-Cited by-同舟云学术

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Evaluating the ability of the NLHA2 and artificial neural network models to predict COVID-19 severity, and comparing them with the four existing scoring systems

Published:2022-10 Issue: Volume:171 Page:105735
ISSN:0882-4010
Container-title:Microbial Pathogenesis
language:en
Short-container-title:Microbial Pathogenesis

Author:

Dong Yue,Wang Kai,Zou Xu,Tan Xiaoping,Zang Yi,Li Xinyu,Ren Xiaoting,Xie Desheng,Jie Zhijun,Chen Xiaohua,Zeng Yingying,Shi Jindong

Publisher

Elsevier BV

Subject

Infectious Diseases,Microbiology

Reference41 articles.

1. Outbreak of pneumonia of unknown etiology in Wuhan, China: the mystery and the miracle;Lu;J. Med. Virol.,2020

2. Evaluation of the diagnostic performance of panfungal polymerase chain reaction assay in invasive fungal diseases;Cao;Exp. Ther. Med.,2017

3. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study;Yang;Lancet Respir. Med.,2020

4. Late admission to the ICU in patients with community-acquired pneumonia is associated with higher mortality;Restrepo;Chest,2010

5. The pneumonia severity index: a decade after the initial derivation and validation;Aujesky;Clin. Infect. Dis.,2008

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1. An innovative ensemble model based on deep learning for predicting COVID-19 infection;Scientific Reports;2023-07-29

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