Time-series analysis of multidimensional clinical-laboratory data by dynamic Bayesian networks reveals trajectories of COVID-19 outcomes

BACKGROUND AND OBJECTIVE: COVID-19 severity spans an entire clinical spectrum from asymptomatic to fatal. Most patients who require in-hospital care are admitted to non-intensive wards, but their clinical conditions can deteriorate suddenly and some eventually die. Clinical data from patients’ case...

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Detalles Bibliográficos
Autores principales: Longato, Enrico, Morieri, Mario Luca, Sparacino, Giovanni, Di Camillo, Barbara, Cattelan, Annamaria, Lo Menzo, Sara, Trevenzoli, Marco, Vianello, Andrea, Guarnieri, Gabriella, Lionello, Federico, Avogaro, Angelo, Fioretto, Paola, Vettor, Roberto, Fadini, Gian Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9091152/
https://www.ncbi.nlm.nih.gov/pubmed/35588662
http://dx.doi.org/10.1016/j.cmpb.2022.106873

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9091152/
https://www.ncbi.nlm.nih.gov/pubmed/35588662
http://dx.doi.org/10.1016/j.cmpb.2022.106873

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