Comparing different machine learning techniques for predicting COVID-19 severity

被引：0
作者：
Yibai Xiong
Yan Ma
Lianguo Ruan
Dan Li
Cheng Lu
Luqi Huang
机构：
[1] China Academy of Chinese Medical Sciences,Institute of Basic Research in Clinical Medicine
[2] JinYinTan Hospital,Department of Infectious Diseases
[3] Chinese Center for Disease Control and Prevention,Information Center
[4] China Academy of Chinese Medical Sciences,National Resource Center for Chinese Materia Medica
来源：
Infectious Diseases of Poverty | / 11卷
关键词：
COVID-19; Severity; Machine learning; Support vector machine; Random Forest; Logistic regression;
D O I：
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学科分类号：
摘要：
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[31]  
Zheng Z(2019)Risk factors for mortality due to ventilator-associated pneumonia in a Chinese hospital: a retrospective study Med Sci Monit 25 7660-undefined
[32]  
Peng F(2020)Biomarkers associated with COVID-19 disease progression Crit Rev Clin Lab Sci 57 389-undefined
[33]  
Xu B(2020)Hematological findings and complications of COVID-19 Am J Hematol 95 834-undefined
[34]  
Zhao J(2020)From SARS to COVID-19: what we have learned about children infected with COVID-19 Int J Infect Dis 96 710-undefined
[35]  
Liu H(2013)Development of fucosyltransferase and fucosidase inhibitors Chem Soc Rev 42 4459-undefined
[36]  
Peng J(2019)Development of a UHPLC-MS method for inhibitor screening against α- Anal Bioanal Chem 411 1467-undefined
[37]  
Xiong Y(2008)-1,3-fucosidase J Immunol 181 2407-undefined
[38]  
Ma Y(2020)Leukocyte extravasation: an immunoregulatory role for alpha- Eur J Epidemiol 35 763-undefined
[39]  
Tian Y(2018)-fucosidase? Front Immunol 9 2147-undefined
[40]  
Zhang C(2020)Anemia and iron metabolism in COVID-19: a systematic review and meta-analysis Am J Respir Crit Care Med 201 1299-undefined
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