Discriminatory Gleason grade group signatures of prostate cancer: An application of machine learning methods

• Mpho Mokoatle ,

  Contributed equally to this work with: Mpho Mokoatle, Darlington Mapiye, Vukosi Marivate

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

  * E-mail: u19394277@tuks.co.za

  Affiliation Department of Computer Science, University of Pretoria, Pretoria, South Africa

  https://orcid.org/0000-0001-7689-2840

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• Darlington Mapiye ,

  Contributed equally to this work with: Mpho Mokoatle, Darlington Mapiye, Vukosi Marivate

  Roles Conceptualization, Formal analysis, Methodology

  Affiliation AstraZeneca, London, United Kingdom

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• Vukosi Marivate ,

  Contributed equally to this work with: Mpho Mokoatle, Darlington Mapiye, Vukosi Marivate

  Roles Supervision, Writing – review & editing

  Affiliations Department of Computer Science, University of Pretoria, Pretoria, South Africa, School of Medical Sciences, The University of Sydney, Sydney, Australia

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• Vanessa M. Hayes ,

  Roles Data curation, Validation

  ¶‡ VMH and RB also contributed equally to this work.

  Affiliations School of Medical Sciences, The University of Sydney, Sydney, Australia, School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa

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• Riana Bornman

  Roles Data curation, Validation

  ¶‡ VMH and RB also contributed equally to this work.

  Affiliation School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa

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