Deep-learning-based prognostic modeling for incident heart failure in patients with diabetes using electronic health records: A retrospective cohort study

• Ilaria Gandin ,

  Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Writing – original draft, Writing – review & editing

  * E-mail: igandin@units.it

  Affiliation Department of Medical Sciences, Biostatistics Unit, University of Trieste, Trieste, Italy

  https://orcid.org/0000-0003-3196-2491

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• Sebastiano Saccani,

  Roles Formal analysis, Methodology, Writing – review & editing

  Affiliation Aindo, Trieste, Italy

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• Andrea Coser,

  Roles Formal analysis

  Affiliation Aindo, Trieste, Italy

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• Arjuna Scagnetto,

  Roles Data curation

  Affiliation Cardiovascular Center, University Hospital and Health Services of Trieste, Trieste, Italy

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• Chiara Cappelletto,

  Roles Conceptualization, Writing – review & editing

  Affiliation Cardiovascular Center, University Hospital and Health Services of Trieste, Trieste, Italy

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• Riccardo Candido,

  Roles Conceptualization, Writing – review & editing

  Affiliation Diabetes Center, University Hospital and Health Services of Trieste, Trieste, Italy

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• Giulia Barbati,

  Roles Conceptualization, Methodology, Supervision, Writing – review & editing

  Affiliation Department of Medical Sciences, Biostatistics Unit, University of Trieste, Trieste, Italy

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• Andrea Di Lenarda

  Roles Conceptualization, Funding acquisition, Investigation, Resources, Supervision, Writing – review & editing

  Affiliation Cardiovascular Center, University Hospital and Health Services of Trieste, Trieste, Italy

  https://orcid.org/0000-0001-8482-4872

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