Development and validation of an interpretable machine learning-based predictive model for breast cancer bone metastasis - Top-Institutions - MDSpire

Development and validation of an interpretable machine learning-based predictive model for breast cancer bone metastasis

  • By

  • Caiyun Fan

  • Ming Tian

  • Zhendong Ding

  • Jun Peng

  • Gulisitan Yiliyiming

  • Mingjiang Fan

  • Abuduaini Tuerxun

  • Binxu Qiu

  • Xiaojuan Zhu

  • July 3, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    Surveillance, Epidemiology, and End Results (SEER) database
    Surveillance, Epidemiology, and End Results (SEER) database

    Rockville, MD

    Key Differentiators

    • Oncology

  • #2

    Chinese medical institution
    Chinese medical institution

    Unknown, Unknown

    Key Differentiators

    • Oncology

  • #3

    Nagoya University Graduate School of Medicine
    Nagoya University Graduate School of Medicine

    Nagoya, Aichi

    Key Differentiators

    • Oncology

  • #4

    Japan Association of Spine Surgeons With Ambition
    Japan Association of Spine Surgeons With Ambition

    Unknown, Unknown

    Key Differentiators

    • Oncology

  • #5

    The First Affiliated Hospital of Dalian Medical University
    The First Affiliated Hospital of Dalian Medical University

    Dalian, Liaoning

    Key Differentiators

    • Oncology

Original Source(s)

Development and validation of an interpretable machine learning-based predictive model for breast cancer bone metastasis

  • by Caiyun Fan, Ming Tian, Zhendong Ding, Jun Peng, Gulisitan Yiliyiming, Mingjiang Fan, Abuduaini Tuerxun, Binxu Qiu, Xiaojuan Zhu

  • July 3, 2026

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