Using Unsupervised Machine Learning to Identify Age- and Sex-Independent Severity Subgroups Among Patients with COVID-19: Observational Longitudinal Study

Using Unsupervised Machine Learning to Identify Age- and Sex-Independent Severity Subgroups Among Patients with COVID-19: Observational Longitudinal Study

BackgroundEarly detection and intervention are the key factors for improving outcomes in patients with COVID-19. ObjectiveThe objective of this observational longitudinal study was to identify nonoverlapping severity subgroups (ie, clusters) among patients with COVID-19, based exclusively on clinica...

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Main Authors: Benito-León, Julián (Author), del Castillo, Mª Dolores (Author), Estirado, Alberto (Author), Ghosh, Ritwik (Author), Dubey, Souvik (Author), Serrano, J Ignacio (Author)
Format: Book
Published: JMIR Publications, 2021-05-01T00:00:00Z.
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