A causal learning framework for the analysis and interpretation of COVID-19 clinical data

• Elisa Ferrari ,

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: elisa.ferrari@sns.it

  Affiliation Scuola Normale Superiore, Pisa, Italy

  https://orcid.org/0000-0001-5829-1339

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• Luna Gargani,

  Roles Data curation, Supervision, Writing – review & editing

  Affiliation Institute of Clinical Physiology, C.N.R, Pisa, Italy

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• Greta Barbieri,

  Roles Data curation, Writing – review & editing

  Affiliations Department of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, Pisa, Italy, Emergency Medicine Department, Pisa University Hospital, Pisa, Italy

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• Lorenzo Ghiadoni,

  Roles Data curation, Supervision, Writing – review & editing

  Affiliation Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy

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• Francesco Faita ,

  Contributed equally to this work with: Francesco Faita, Davide Bacciu

  Roles Data curation, Formal analysis, Investigation, Supervision, Writing – original draft, Writing – review & editing

  Affiliation Institute of Clinical Physiology, C.N.R, Pisa, Italy

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• Davide Bacciu

  Contributed equally to this work with: Francesco Faita, Davide Bacciu

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Supervision, Visualization, Writing – review & editing

  Affiliation Department of Computer Science, University of Pisa, Pisa, Italy

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