Interpretable early mortality prediction in oncology ICU patients: A dual-cohort validation of a LASSO–XGBoost–SHAP framework - Top-Institutions - MDSpire

Interpretable early mortality prediction in oncology ICU patients: A dual-cohort validation of a LASSO–XGBoost–SHAP framework

  • By

  • Xinyi Chen

  • Lu Wang

  • Wan Qin

  • Mu Yang

  • Yuanmei Yan

  • Xiaoxiao Luo

  • Xianglin Yuan

  • July 7, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    MIMIC database
    MIMIC database

    Boston, MA

    Key Differentiators

    • Oncology
    • Intensive Care

  • #2

    eICU database
    eICU database

    Boston, MA

    Key Differentiators

    • Oncology
    • Intensive Care

  • #3

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

    Tallinn, Estonia

    Key Differentiators

    • Oncology

  • #4

    Stanford NSCLC Radiogenomics
    Stanford NSCLC Radiogenomics

    Stanford, CA

    Key Differentiators

    • Oncology
    • Radiogenomics

Original Source(s)

Interpretable early mortality prediction in oncology ICU patients: A dual-cohort validation of a LASSO–XGBoost–SHAP framework

  • by Xinyi Chen, Lu Wang, Wan Qin, Mu Yang, Yuanmei Yan, Xiaoxiao Luo, Xianglin Yuan

  • July 7, 2026

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