Machine learning–based prediction of mortality in lung cancer: Application of severity-adjustment method - Top-Institutions - MDSpire

Machine learning–based prediction of mortality in lung cancer: Application of severity-adjustment method

  • By

  • Sewon Park

  • Selin Woo

  • Ji-Hyun Park

  • Bumhee Park

  • Munjae Lee

  • May 21, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

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

    Tallinn, Harju County

    Key Differentiators

    • Oncology

  • #2

    Stanford NSCLC Radiogenomics
    Stanford NSCLC Radiogenomics

    Stanford, California

    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

    Tokyo, Tokyo

    Key Differentiators

    • Oncology

  • #5

    The University of Texas MD Anderson Cancer Center
    The University of Texas MD Anderson Cancer Center

    Houston, Texas

    Key Differentiators

    • Oncology

Original Source(s)

Machine learning–based prediction of mortality in lung cancer: Application of severity-adjustment method

  • by Sewon Park, Selin Woo, Ji-Hyun Park, Bumhee Park, Munjae Lee

  • May 21, 2026

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