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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...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| 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 |