Evaluation of the Applicability of Synthetic Data in the Development of Colorectal Cancer Survival Prediction Models: External Validation of Advanced Machine Learning Models Based on National Cancer Data Center Data - Top-Institutions - MDSpire

Evaluation of the Applicability of Synthetic Data in the Development of Colorectal Cancer Survival Prediction Models: External Validation of Advanced Machine Learning Models Based on National Cancer Data Center Data

  • By

  • Yujeong Jang

  • Jae Hoon Kwon

  • Heeyong Kim

  • You-Jin Joung

  • Junho ‍Nang

  • Chang Hyun Kim

  • July 7, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    Samsung Medical Center
    Samsung Medical Center

    Seoul, South Korea

    Key Differentiators

    • Oncology

  • #2

    Yonsei University Severance Hospital
    Yonsei University Severance Hospital

    Seoul, South Korea

    Key Differentiators

    • Oncology

  • #3

    National Cancer Center
    National Cancer Center

    Goyang, South Korea

    Key Differentiators

    • Oncology

  • #4

    Hwasun Jeonnam University Hospital
    Hwasun Jeonnam University Hospital

    Hwasun, South Korea

    Key Differentiators

    • Oncology

  • #5

    North Estonia Medical Centre (NEMC) Foundation
    North Estonia Medical Centre (NEMC) Foundation

    Tallinn, Estonia

    Key Differentiators

    • Oncology

Original Source(s)

Evaluation of the Applicability of Synthetic Data in the Development of Colorectal Cancer Survival Prediction Models: External Validation of Advanced Machine Learning Models Based on National Cancer Data Center Data

  • by Yujeong Jang, Jae Hoon Kwon, Heeyong Kim, You-Jin Joung, Junho ‍Nang, Chang Hyun Kim

  • July 7, 2026

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