Explainable machine learning for predicting venous thromboembolism in septic shock patients - Top-Institutions - MDSpire

Utilizing Explainable Machine Learning to Forecast Venous Thromboembolism in Patients Experiencing Septic Shock

  • By

  • Yuanyuan Li

  • Qi Xin

  • Yizhao Lu

  • Xiaoyuan Yu

  • Chunyu Gu

  • July 20, 2026

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Top Institutions in Hematology

Brief introduction explaining scope and methodology.

  • #1

    Shaanxi Provincial People’s Hospital
    Shaanxi Provincial People’s Hospital

    Xi'an, Shaanxi

    Key Differentiators

    • Hematology

  • #2

    Xi’an No. 3 Hospital
    Xi’an No. 3 Hospital

    Xi'an, Shaanxi

    Key Differentiators

    • Hematology

  • #3

    VTE-AI
    VTE-AI

    N/A, N/A

    Key Differentiators

    • Hematology

  • #4

    Second Affiliated Hospital of Zhejiang University
    Second Affiliated Hospital of Zhejiang University

    Hangzhou, Zhejiang

    Key Differentiators

    • Hematology

  • #5

    Beijing Anzhen Hospital
    Beijing Anzhen Hospital

    Beijing, Beijing

    Key Differentiators

    • Hematology

Original Source(s)

Explainable machine learning for predicting venous thromboembolism in septic shock patients

  • by Yuanyuan Li, Qi Xin, Yizhao Lu, Xiaoyuan Yu, Chunyu Gu

  • July 20, 2026

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