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
Julián Benito-León
1
* , MD, PhD ;
Mª Dolores del Castillo
2
* , PhD ;
Alberto Estirado
3
, BSc ;
Ritwik Ghosh
4
, MD ;
Souvik Dubey
5
, MD, DM ;
J Ignacio Serrano
2
* , PhD
1
Department of Neurology, University Hospital “12 de Octubre”, Madrid, Spain
2
Neural and Cognitive Engineering Group, Center for Automation and Robotics, CSIC-UPM, Arganda del Rey, Spain
3
HM Hospitales, Madrid, Spain
4
Department of General Medicine, Burdwan Medical College and Hospital, Burdwan, India
5
Department of Neuromedicine, Bangur Institute of Neurosciences, Kolkata, India
*these authors contributed equally
Corresponding Author:
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Julián Benito-León, MD, PhD
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Department of Neurology
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University Hospital “12 de Octubre”
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Avenida de Córdoba s/n
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Madrid, 28041
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Spain
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Phone:
34 639154069
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Email: jbenitol67@gmail.com