An artificial neural network classification method employing longitudinally monitored immune biomarkers to predict the clinical outcome of critically ill COVID-19 patients

Background The severe form of COVID-19 can cause a dysregulated host immune syndrome that might lead patients to death. To understand the underlying immune mechanisms that contribute to COVID-19 disease we have examined 28 different biomarkers in two cohorts of COVID-19 patients, aiming to systemati...

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Detalhes bibliográficos

Principais autores:	Gustavo Martinez, Alexis Garduno, Abdullah Mahmud-Al-Rafat, Ali Toloue Ostadgavahi, Ann Avery, Scheila de Avila e Silva, Rachael Cusack, Cheryl Cameron, Mark Cameron, Ignacio Martin-Loeches, David Kelvin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	PeerJ Inc. 2022-12-01
coleção:	PeerJ
Assuntos:	Biomarkers Artificial Neural Networks Classification Immunology Deep learning
Acesso em linha:	https://peerj.com/articles/14487.pdf
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