Generation of machine-learning derived cancer vulnerability indicator to determine the spatial burden of cancer outcomes

• Kou Kou,

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

  Affiliations Cancer Council Queensland, Brisbane, Australia, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia

  https://orcid.org/0000-0002-3541-5949

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• Jessica Cameron,

  Roles Methodology, Writing – review & editing

  Affiliations Cancer Council Queensland, Brisbane, Australia, Faculty of Medicine, University of Queensland, Brisbane, Australia, Centre for Data Science, Faculty of Science, Queensland University of Technology, Brisbane, Australia

  https://orcid.org/0000-0002-8161-0358

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• Paramita Dasgupta,

  Roles Writing – review & editing

  Affiliation Cancer Council Queensland, Brisbane, Australia

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• Hao Chen,

  Roles Methodology, Writing – review & editing

  Affiliation Australian Urban Research Infrastructure Network, Melbourne, Australia

  https://orcid.org/0009-0004-9739-628X

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• Peter D. Baade

  Roles Conceptualization, Funding acquisition, Project administration, Resources, Software, Supervision, Writing – review & editing

  * E-mail: peter.baade@qut.edu.au

  Affiliations Cancer Council Queensland, Brisbane, Australia, Centre for Data Science, Faculty of Science, Queensland University of Technology, Brisbane, Australia

  https://orcid.org/0000-0001-8576-8868

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