MedML: Fusing medical knowledge and machine learning models for early pediatric COVID-19 hospitalization and severity prediction

The COVID-19 pandemic has caused devastating economic and social disruption. This has led to a nationwide call for models to predict hospitalization and severe illness in patients with COVID-19 to inform the distribution of limited healthcare resources. To address this challenge, we propose a machin...

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Detalles Bibliográficos
Autores principales: Gao, Junyi, Yang, Chaoqi, Heintz, Joerg, Barrows, Scott, Albers, Elise, Stapel, Mary, Warfield, Sara, Cross, Adam, Sun, Jimeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9384332/
https://www.ncbi.nlm.nih.gov/pubmed/35992304
http://dx.doi.org/10.1016/j.isci.2022.104970

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9384332/
https://www.ncbi.nlm.nih.gov/pubmed/35992304
http://dx.doi.org/10.1016/j.isci.2022.104970

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