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

BACKGROUND AND AIM: COVID-19 can be presented with various gastrointestinal symptoms. Shortly after the pandemic outbreak, several machine learning algorithms were implemented to assess new diagnostic and therapeutic methods for this disease. The aim of this study is to assess gastrointestinal and l...

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Detalles Bibliográficos
Autores principales: Lipták, Peter, Banovcin, Peter, Rosoľanka, Róbert, Prokopič, Michal, Kocan, Ivan, Žiačiková, Ivana, Uhrik, Peter, Grendar, Marian, Hyrdel, Rudolf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Gastroenterology and Hepatology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944335/
https://www.ncbi.nlm.nih.gov/pubmed/35341062
http://dx.doi.org/10.7717/peerj.13124

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944335/
https://www.ncbi.nlm.nih.gov/pubmed/35341062
http://dx.doi.org/10.7717/peerj.13124

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