Paying attention to cardiac surgical risk: An interpretable machine learning approach using an uncertainty-aware attentive neural network

• Jahan C. Penny-Dimri ,

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

  * E-mail: jahan.penny-dimri@monash.edu

  Affiliation Department of Surgery, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Vic, Australia

  https://orcid.org/0000-0001-8148-1237

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• Christoph Bergmeir,

  Roles Conceptualization, Supervision, Writing – review & editing

  Affiliations Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain, Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Melbourne, Vic, Australia

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• Christopher M. Reid,

  Roles Data curation, Writing – review & editing

  Affiliation Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Vic, Australia

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• Jenni Williams-Spence,

  Roles Data curation, Writing – review & editing

  Affiliation Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Vic, Australia

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• Andrew D. Cochrane,

  Roles Supervision, Writing – review & editing

  Affiliation Department of Surgery, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Vic, Australia

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• Julian A. Smith

  Roles Supervision, Writing – review & editing

  Affiliation Department of Surgery, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Vic, Australia

  https://orcid.org/0000-0003-1244-4277

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