Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25988, first published .
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

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

Journals

  1. Romero J, Bravo-Martín A, Oliva-Navarrete P, Sánchez-Cuesta F, Ríos-Lago M, Benito-León J. Impact of COVID-19 on a brain damage unit. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 2021;15(4):102163 View