An ensemble prediction model for COVID-19 mortality risk.

Jie LiXin LiJohn HutchinsonMohammad AsadYinghui LiuYadong WangEdwin Wang

Published in: Biology methods & protocols (2022)

Our study shows that 14 key features are robust and useful in predicting the risk of death in patients confirmed SARS-CoV-2 infection at an early stage, and potentially useful in clinical settings to help in making clinical decisions.

Keyphrases

early stage
end stage renal disease
ejection fraction
coronavirus disease
chronic kidney disease
sars cov
newly diagnosed
prognostic factors
peritoneal dialysis
radiation therapy
squamous cell carcinoma
machine learning
lymph node
neural network
locally advanced