Constructing, validating, and updating machine learning models to predict survival in children with Ebola Virus Disease

BACKGROUND: Ebola Virus Disease (EVD) causes high case fatality rates (CFRs) in young children, yet there are limited data focusing on predicting mortality in pediatric patients. Here we present machine learning-derived prognostic models to predict clinical outcomes in children infected with Ebola v...

Descripción completa

Detalles Bibliográficos
Autores principales: Genisca, Alicia E., Butler, Kelsey, Gainey, Monique, Chu, Tzu-Chun, Huang, Lawrence, Mbong, Eta N., Kennedy, Stephen B., Laghari, Razia, Nganga, Fiston, Muhayangabo, Rigobert F., Vaishnav, Himanshu, Perera, Shiromi M., Adeniji, Moyinoluwa, Levine, Adam C., Michelow, Ian C., Colubri, Andrés
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9555640/
https://www.ncbi.nlm.nih.gov/pubmed/36223331
http://dx.doi.org/10.1371/journal.pntd.0010789

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9555640/
https://www.ncbi.nlm.nih.gov/pubmed/36223331
http://dx.doi.org/10.1371/journal.pntd.0010789

Ejemplares similares