Artificial neural network model from a case series of COVID-19 patients: a prognostic analysis

BACKGROUND AND AIM: There is a need to determine which clinical variables predict the severity of COVID-19. We analyzed a series of critically ill COVID-19 patients to see if any of our dataset’s clinical variables were associated with patient outcomes. METHODS: We retrospectively analyzed the data...

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Detalles Bibliográficos
Autores principales: Venturini, Sergio, Orso, Daniele, Cugini, Francesco, Crapis, Massimo, Fossati, Sara, Callegari, Astrid, Pellis, Tommaso, Tomasello, Dario Carmelo, Tonizzo, Maurizio, Grembiale, Alessandro, D’Andrea, Natascia, Vetrugno, Luigi, Bove, Tiziana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mattioli 1885 2021
Materias:
Original Investigations/Commentaries
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8182608/
https://www.ncbi.nlm.nih.gov/pubmed/33988146
http://dx.doi.org/10.23750/abm.v92i2.11086

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8182608/
https://www.ncbi.nlm.nih.gov/pubmed/33988146
http://dx.doi.org/10.23750/abm.v92i2.11086

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