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
ejection fraction
newly diagnosed
respiratory syndrome coronavirus
mass spectrometry
artificial intelligence