Delineating COVID-19 subgroups using routine clinical data identifies distinct in-hospital outcomes

The COVID-19 pandemic has been a great challenge to healthcare systems worldwide. It highlighted the need for robust predictive models which can be readily deployed to uncover heterogeneities in disease course, aid decision-making and prioritise treatment. We adapted an unsupervised data-driven mode...

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Detalles Bibliográficos
Autores principales: Rangelov, Bojidar, Young, Alexandra, Lilaonitkul, Watjana, Aslani, Shahab, Taylor, Paul, Guðmundsson, Eyjólfur, Yang, Qianye, Hu, Yipeng, Hurst, John R., Hawkes, David J., Jacob, Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10282086/
https://www.ncbi.nlm.nih.gov/pubmed/37339958
http://dx.doi.org/10.1038/s41598-023-32469-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10282086/
https://www.ncbi.nlm.nih.gov/pubmed/37339958
http://dx.doi.org/10.1038/s41598-023-32469-9

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