Towards interpretable machine learning models for diagnosis aid: A case study on attention deficit/hyperactivity disorder

• Sarah Itani ,

  Contributed equally to this work with: Sarah Itani, Mandy Rossignol

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

  * E-mail: sarah.itani@umons.ac.be

  Affiliations Fund for Scientific Research - FNRS (F.R.S.- FNRS), Brussels, Belgium, Department of Mathematics and Operations Research, Faculty of Engineering, University of Mons, Mons, Belgium

  http://orcid.org/0000-0003-4605-9748

  ⨯
• Mandy Rossignol ,

  Contributed equally to this work with: Sarah Itani, Mandy Rossignol

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

  Affiliation Department of Cognitive Psychology and Neuropsychology, Faculty of Psychology and Education, University of Mons, Mons, Belgium

  ⨯
• Fabian Lecron,

  Roles Funding acquisition, Project administration, Supervision, Validation, Writing – review & editing

  Affiliation Department of Engineering Innovation Management, Faculty of Engineering, University of Mons, Mons, Belgium

  http://orcid.org/0000-0002-6516-0086

  ⨯
• Philippe Fortemps

  Roles Funding acquisition, Project administration, Supervision, Validation, Writing – review & editing

  Affiliation Department of Engineering Innovation Management, Faculty of Engineering, University of Mons, Mons, Belgium

  http://orcid.org/0000-0002-2831-105X

  ⨯