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A highly accurate risk factor-based XGBoost multiethnic model for identifying patients with skin cancer

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  • Additional Information
    • Publication Date:
      2025
    • Collection:
      :University of Surrey: Figshare
    • Abstract:
      All work done in All Of Us (AoU) Researcher Workbench: cancer.extract_data.ipynb obtains the data from the AoU OMOP database cancer.clean_data.ipynb refines the data (re-annotates ancestry, calculate age, reannotates survey data) cancer.analysis_epidemiology.ipynb performs the analyses and predictions cancer.skin_cancer_predictor.manuscript_prepare_data.ipynb prepares the data for figures and tables cancer.skin_cancer_predictor.manuscript.ipynb generates figures and tables for the manuscript cancer.analysis_epidemiology.all_current_date.ipynb performs the predictions using current date for all individuals
    • Accession Number:
      10.6084/m9.figshare.25888702.v1
    • Online Access:
      https://doi.org/10.6084/m9.figshare.25888702.v1
      https://figshare.com/articles/dataset/A_highly_accurate_risk_factor-based_XGBoost_multiethnic_model_for_identifying_patients_with_skin_cancer/25888702
    • Rights:
      MIT
    • Accession Number:
      edsbas.39581CD5