A machine learning approach for identification of gastrointestinal predictors for the risk of COVID-19 related hospitalization.

Peter LiptákPeter BanovcinRóbert RosoľankaMichal ProkopičIvan KocanIvana ŽiačikováPeter UhrikMarian GrendárRudolf Hyrdel

Published in: PeerJ (2022)

SARS-CoV-2 positivity is connected with isolated AST elevation and the level is linked with the severity of the disease. Furthermore, using the machine learning Random Forest algorithm, we have identified the elevated AST as the most important predictor for COVID-19 related hospitalizations.

Keyphrases

sars cov
machine learning
coronavirus disease
respiratory syndrome coronavirus
artificial intelligence
deep learning
big data
climate change
bioinformatics analysis
drug induced