Association between clinical characteristics within 6 h of ICU admission and 30-day mortality risk in immunocompromised sepsis patients: development and validation of a machine learning model based on the MIMIC-IV database - Quiz - MDSpire
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Predicting 30-Day Mortality in Immunocompromised Sepsis Patients: A Machine Learning Model Based on Clinical Data Collected Within 6 Hours of ICU Admission Using the MIMIC-IV Database

  • By

  • Zhipeng Cheng

  • Xiuqing Ma

  • Weiying Duan

  • Zeyu Mou

  • Zhixin Liang

  • July 13, 2026

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Original Source(s)

Association between clinical characteristics within 6 h of ICU admission and 30-day mortality risk in immunocompromised sepsis patients: development and validation of a machine learning model based on the MIMIC-IV database

  • by Zhipeng Cheng, Xiuqing Ma, Weiying Duan, Zeyu Mou, Zhixin Liang

  • July 13, 2026

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