Identification of risk factors of Long COVID and predictive modeling in the RECOVER EHR cohorts.

Chengxi ZangYu HouEdward J SchenckZhenxing XuYongkang ZhangJie XuJiang BianDmitry MorozyukDhruv KhullarAnna S NordvigElizabeth A ShenkmanRussell L RothmanJason P BlockKristin LymanYiye ZhangJay VarmaMark G WeinerThomas W CartonFei WangRainu Kaushal

Published in: Communications medicine (2024)

This observational study suggests that association patterns between investigated factors and Long COVID are complex, and the predictability of different Long COVID conditions varies. However, machine learning-based predictive models can help in identifying patients who are at risk of developing a variety of Long COVID conditions.

Keyphrases

coronavirus disease
sars cov
machine learning
risk factors
end stage renal disease
chronic kidney disease
ejection fraction
peritoneal dialysis
deep learning
electronic health record
big data
atomic force microscopy
patient reported