A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients

ABSTRACT: In this article, we discuss the development of prognostic machine learning (ML) models for COVID-19 progression, by focusing on the task of predicting ICU admission within (any of) the next 5 days. On the basis of 6,625 complete blood count (CBC) tests from 1,004 patients, of which 18% wer...

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Detalles Bibliográficos
Autores principales: Famiglini, Lorenzo, Campagner, Andrea, Carobene, Anna, Cabitza, Federico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965547/
https://www.ncbi.nlm.nih.gov/pubmed/35353302
http://dx.doi.org/10.1007/s11517-022-02543-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965547/
https://www.ncbi.nlm.nih.gov/pubmed/35353302
http://dx.doi.org/10.1007/s11517-022-02543-x

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