Predicting higher risk factors for COVID-19 short-term reinfection in patients with rheumatic diseases: a modeling study based on XGBoost algorithm

Predicting higher risk factors for COVID-19 short-term reinfection in patients with rheumatic diseases: a modeling study based on XGBoost algorithm

Abstract Background Corona virus disease 2019 (COVID-19) reinfection, particularly short-term reinfection, poses challenges to the management of rheumatic diseases and may increase adverse clinical outcomes. This study aims to develop machine learning models to predict and identify the risk of short...

Full description

Saved in:
Bibliographic Details
Main Authors: Yao Liang, Siwei Xie, Xuqi Zheng, Xinyu Wu, Sijin Du, Yutong Jiang
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Journal of Translational Medicine
Subjects:
COVID-19
Short-term reinfection
Rheumatism
Machine learning
XGBoost
SHAP analysis
Online Access:https://doi.org/10.1186/s12967-024-05982-2
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12967-024-05982-2

Similar Items