Utilizing SHAP Analysis to Enhance Machine Learning Models for Predicting Negative Outcomes in Breast Cancer Surgical Procedures - Top-Institutions - MDSpire

Utilizing SHAP Analysis to Enhance Machine Learning Models for Predicting Negative Outcomes in Breast Cancer Surgical Procedures

  • By

  • Yongde Yang

  • Jiawei Xu

  • Rong Liao

  • Yanlin Zhou

  • April 29, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Breast Surgical Oncology
    • Cancer Informatics
    • Machine Learning in Oncology

  • #2

    Dana-Farber Cancer Institute
    Dana-Farber Cancer Institute

    Boston, MA

    Key Differentiators

    • Breast Oncology
    • Clinical Data Science
    • Predictive Modeling

  • #3

    MD Anderson Cancer Center
    MD Anderson Cancer Center

    Houston, TX

    Key Differentiators

    • Breast Cancer Surgery
    • Oncology Informatics
    • Machine Learning Applications

  • #4

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, MD

    Key Differentiators

    • Breast Surgical Oncology
    • Clinical Informatics
    • AI in Medicine

  • #5

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Breast Cancer Surgery
    • Biomedical Informatics
    • Machine Learning

Original Source(s)

Utilizing SHAP Analysis to Enhance Machine Learning Models for Predicting Negative Outcomes in Breast Cancer Surgical Procedures

  • by Yongde Yang, Jiawei Xu, Rong Liao, Yanlin Zhou

  • April 29, 2026

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