Correlation between lung infection severity and clinical laboratory indicators in patients with COVID-19: a cross-sectional study based on machine learning

Correlation between lung infection severity and clinical laboratory indicators in patients with COVID-19: a cross-sectional study based on machine learning

Abstract Background Coronavirus disease 2019 (COVID-19) has caused a global pandemic that has raised worldwide concern. This study aims to investigate the correlation between the extent of lung infection and relevant clinical laboratory testing indicators in COVID-19 and to analyse its underlying me...

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Bibliographic Details
Main Authors: Xingrui Wang, Qinglin Che, Xiaoxiao Ji, Xinyi Meng, Lang Zhang, Rongrong Jia, Hairong Lyu, Weixian Bai, Lingjie Tan, Yanjun Gao
Format: Article
Language:English
Published: BMC 2021-02-01
Series:BMC Infectious Diseases
Subjects:
COVID-19
SARS-CoV-2
Artificial intelligence
Deep learning
Lymphocyte
Neutrophil
Online Access:https://doi.org/10.1186/s12879-021-05839-9

Internet

https://doi.org/10.1186/s12879-021-05839-9

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