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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| 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 |