Diagnosis and prognosis of COVID-19 employing analysis of patients' plasma and serum via LC-MS and machine learning

OBJECTIVE: To implement and evaluate machine learning (ML) algorithms for the prediction of COVID-19 diagnosis, severity, and fatality and to assess biomarkers potentially associated with these outcomes. MATERIAL AND METHODS: Serum (n = 96) and plasma (n = 96) samples from patients with COVID-19 (ac...

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Detalles Bibliográficos
Autores principales: de Fátima Cobre, Alexandre, Surek, Monica, Stremel, Dile Pontarolo, Fachi, Mariana Millan, Lobo Borba, Helena Hiemisch, Tonin, Fernanda Stumpf, Pontarolo, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123826/
https://www.ncbi.nlm.nih.gov/pubmed/35751188
http://dx.doi.org/10.1016/j.compbiomed.2022.105659

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123826/
https://www.ncbi.nlm.nih.gov/pubmed/35751188
http://dx.doi.org/10.1016/j.compbiomed.2022.105659

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