Budget constrained machine learning for early prediction of adverse outcomes for COVID-19 patients

The combination of machine learning (ML) and electronic health records (EHR) data may be able to improve outcomes of hospitalized COVID-19 patients through improved risk stratification and patient outcome prediction. However, in resource constrained environments the clinical utility of such data-dri...

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Detalles Bibliográficos
Autores principales: Nguyen, Sam, Chan, Ryan, Cadena, Jose, Soper, Braden, Kiszka, Paul, Womack, Lucas, Work, Mark, Duggan, Joan M., Haller, Steven T., Hanrahan, Jennifer A., Kennedy, David J., Mukundan, Deepa, Ray, Priyadip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486861/
https://www.ncbi.nlm.nih.gov/pubmed/34599200
http://dx.doi.org/10.1038/s41598-021-98071-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486861/
https://www.ncbi.nlm.nih.gov/pubmed/34599200
http://dx.doi.org/10.1038/s41598-021-98071-z

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