An interpretable machine learning model for predicting acute respiratory distress syndrome in critically ill patients with acute pancreatitis: A multicenter retrospective study - Top-Institutions - MDSpire

An interpretable machine learning model for predicting acute respiratory distress syndrome in critically ill patients with acute pancreatitis: A multicenter retrospective study

  • By

  • Sheng Yan

  • Xia Ren

  • Chunyang Xu

  • Feng Zheng

  • Luojie Liu

  • Shun Wen

  • Xiaodan Xu

  • Yan Zhang

  • May 26, 2026

  • 0 min

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Top Institutions in Pulmonary

Brief introduction explaining scope and methodology.

  • #1

    Beth Israel Deaconess Medical Center
    Beth Israel Deaconess Medical Center

    Boston, MA

    Key Differentiators

    • Critical Care Medicine

  • #2

    Massachusetts Institute of Technology
    Massachusetts Institute of Technology

    Cambridge, MA

    Key Differentiators

    • Critical Care Medicine

  • #3

    Changshu Hospital affiliated to Soochow University
    Changshu Hospital affiliated to Soochow University

    Changshu, Jiangsu

    Key Differentiators

    • Critical Care Medicine

Original Source(s)

An interpretable machine learning model for predicting acute respiratory distress syndrome in critically ill patients with acute pancreatitis: A multicenter retrospective study

  • by Sheng Yan, Xia Ren, Chunyang Xu, Feng Zheng, Luojie Liu, Shun Wen, Xiaodan Xu, Yan Zhang

  • May 26, 2026

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