Cargando…
Evolution of hospitalized patient characteristics through the first three COVID-19 waves in Paris area using machine learning analysis
Characteristics of patients at risk of developing severe forms of COVID-19 disease have been widely described, but very few studies describe their evolution through the following waves. Data was collected retrospectively from a prospectively maintained database from a University Hospital in Paris ar...
Autores principales: | Jung, Camille, Excoffier, Jean-Baptiste, Raphaël-Rousseau, Mathilde, Salaün-Penquer, Noémie, Ortala, Matthieu, Chouaid, Christos |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863256/ https://www.ncbi.nlm.nih.gov/pubmed/35192649 http://dx.doi.org/10.1371/journal.pone.0263266 |
Ejemplares similares
-
Analysis of COVID-19 inpatients in France during first lockdown of 2020 using explainability methods
por: Excoffier, Jean-Baptiste, et al.
Publicado: (2022) -
Evolution du profil des patients hospitalisés au cours des trois premières vagues de COVID-19 par des techniques d'apprentissage automatique
por: Jung, C., et al.
Publicado: (2022) -
Evolution des facteurs de risque de forme grave de la COVID-19 à travers les trois vagues à partir des données du PMSI
por: Rousseau, M., et al.
Publicado: (2022) -
Analyse des patients hospitalisés pour COVID-19 lors du premier confinement de 2020 à l'aide de méthodes d'explicabilité
por: Excoffier, J-B., et al.
Publicado: (2022) -
Risk factors for early mortality of lung cancer patients in France: A nationwide analysis
por: Goussault, Hélène, et al.
Publicado: (2022)