Multimodal machine learning predicts type 2 respiratory failure in COPD exacerbations: a multicenter XGBoost model with clinical nomogram - Top-Institutions - MDSpire

Multimodal machine learning predicts type 2 respiratory failure in COPD exacerbations: a multicenter XGBoost model with clinical nomogram

  • By

  • Yunyu Liu

  • Yang Zhou

  • Yalian Zhang

  • Juntao Tan

  • Jun Gong

  • July 15, 2026

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Top Institutions in Pulmonary

Brief introduction explaining scope and methodology.

  • #1

    Chongqing Medical University
    Chongqing Medical University

    Chongqing, China

    Key Differentiators

    • Pulmonology

  • #2

    a tertiary academic medical center in Chongqing, China
    a tertiary academic medical center in Chongqing, China

    Chongqing, China

    Key Differentiators

    • Pulmonology

  • #3

    University Hospital of Bordeaux
    University Hospital of Bordeaux

    Bordeaux, France

    Key Differentiators

    • Pulmonology

Original Source(s)

Multimodal machine learning predicts type 2 respiratory failure in COPD exacerbations: a multicenter XGBoost model with clinical nomogram

  • by Yunyu Liu, Yang Zhou, Yalian Zhang, Juntao Tan, Jun Gong

  • July 15, 2026

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