Machine learning model for predicting severity prognosis in patients infected with COVID-19: Study protocol from COVID-AI Brasil

• Flávia Paiva Proença Lobo Lopes,

  Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing

  Affiliation Departments of Radiology and Innovation, Diagnósticos da América (Dasa), São Paulo, São Paulo, Brasil

  https://orcid.org/0000-0002-6713-4041

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• Felipe Campos Kitamura ,

  Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing

  * E-mail: kitamura.felipe@gmail.com

  Affiliation Departments of Radiology and Innovation, Diagnósticos da América (Dasa), São Paulo, São Paulo, Brasil

  https://orcid.org/0000-0002-9992-5630

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• Gustavo Faibischew Prado,

  Roles Conceptualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Innovation, Hospital Alemão Oswaldo Cruz, São Paulo, São Paulo, Brasil

  https://orcid.org/0000-0001-8023-4904

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• Paulo Eduardo de Aguiar Kuriki,

  Roles Conceptualization, Methodology

  Affiliation Departments of Radiology and Innovation, Diagnósticos da América (Dasa), São Paulo, São Paulo, Brasil

  https://orcid.org/0000-0002-1485-5750

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• Marcio Ricardo Taveira Garcia,

  Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing

  Affiliation Departments of Radiology and Innovation, Diagnósticos da América (Dasa), São Paulo, São Paulo, Brasil

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• COVID-AI-Brasil

  ¶Membership of the COVID-AI Brasil Consortium is provided in the Acknowledgments.

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