Machine learning predictive model for severe COVID-19-Reference-Cited by-同舟云学术

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Machine learning predictive model for severe COVID-19

Published:2021-06 Issue: Volume:90 Page:104737
ISSN:1567-1348
Container-title:Infection, Genetics and Evolution
language:en
Short-container-title:Infection, Genetics and Evolution

Author:

Kang Jianhong,Chen Ting,Luo Honghe,Luo Yifeng,Du Guipeng,Jiming-Yang Mia

Publisher

Elsevier BV

Subject

Infectious Diseases,Microbiology (medical),Genetics,Molecular Biology,Ecology, Evolution, Behavior and Systematics,Microbiology

Reference33 articles.

1. Diagnosing thyroid disorders: comparison of logistic regression and neural network models;Borzouei;J. Family Med. Prim. Care,2020

2. The impact of the glycocalyx on microcirculatory oxygen distribution in critical illness;Chappell;Curr. Opin. Anaesthesiol.,2009

3. Cytokine responses in severe acute respiratory syndrome coronavirus-infected macrophages in vitro: possible relevance to pathogenesis;Cheung;J. Virol.,2005

4. Diagnosis and Treatment Protocol for Novel Coronavirus Pneumonia (Trial Version 7)

5. Covid-19: an urgent need for a psychoneuroendocrine perspective;Dantzer;Psychoneuroendocrinology,2020

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2. Deep learning in public health: Comparative predictive models for COVID-19 case forecasting;PLOS ONE;2024-03-14

3. A Machine Learning approach to identify groups of patients with hematological malignant disorders;Computer Methods and Programs in Biomedicine;2024-01

4. Combat COVID-19 at National Level using Risk Stratification with Appropriate Intervention;2023 IEEE International Conference on Big Data (BigData);2023-12-15

5. Severity prediction in COVID-19 patients using clinical markers and explainable artificial intelligence: A stacked ensemble machine learning approach;Intelligent Decision Technologies;2023-11-20

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