Predicting Type 2 diabetes onset age using machine learning: A case study in KSA

• Faten Al-hussein ,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Validation, Visualization, Writing – original draft

  * E-mail: s3912076@student.rmit.edu.au

  Affiliations School of Science, RMIT University, Melbourne, Victoria, Australia, Department of Mathematics and Statistics, College of Sciences, University of Jeddah, Jeddah, Saudi Arabia

  https://orcid.org/0009-0007-3641-6840

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• Laleh Tafakori ,

  Contributed equally to this work with: Laleh Tafakori, Mali Abdollahian

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

  Affiliation School of Science, RMIT University, Melbourne, Victoria, Australia

  ⨯
• Mali Abdollahian ,

  Contributed equally to this work with: Laleh Tafakori, Mali Abdollahian

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

  Affiliation School of Science, RMIT University, Melbourne, Victoria, Australia

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• Khalid Al-Shali ,

  Roles Investigation, Resources

  ¶‡ KA and AA also contributed equally to this work.

  Affiliation Department of Medicine, King Abdulaziz University Hospital, Jeddah, Saudi Arabia

  https://orcid.org/0000-0002-7856-9753

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• Ahmed Al-Hejin

  Roles Investigation, Resources

  ¶‡ KA and AA also contributed equally to this work.

  Affiliation Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia

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