Machine learning based predictive modeling and risk factors for prolonged SARS-CoV-2 shedding

Machine learning based predictive modeling and risk factors for prolonged SARS-CoV-2 shedding

Abstract Background The global outbreak of the coronavirus disease 2019 (COVID-19) has been enormously damaging, in which prolonged shedding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, previously 2019-nCoV) infection is a challenge in the prevention and treatment of COVID-19. How...

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Bibliographic Details
Main Authors: Yani Zhang, Qiankun Li, Haijun Duan, Liang Tan, Ying Cao, Junxin Chen
Format: Article
Language:English
Published: BMC 2024-11-01
Series:Journal of Translational Medicine
Subjects:
COVID-19
SARS-CoV-2
Duration of viral shedding
XGBoost
Machine learning
SHAP interpretability analysis
Online Access:https://doi.org/10.1186/s12967-024-05872-7
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