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

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

Abstract 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-dr...

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Bibliographic Details
Main Authors: Bojidar Rangelov, Alexandra Young, Watjana Lilaonitkul, Shahab Aslani, Paul Taylor, Eyjólfur Guðmundsson, Qianye Yang, Yipeng Hu, John R. Hurst, David J. Hawkes, Joseph Jacob, Тhe NCCID Collaborative
Format: Article
Language:English
Published: Nature Portfolio 2023-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-32469-9

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https://doi.org/10.1038/s41598-023-32469-9

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