A machine learning model for 90-day mortality prediction in hepatitis B virus-related acute-on-chronic liver failure: the pivotal role of CALLY index - Top-Institutions - MDSpire

A machine learning model for 90-day mortality prediction in hepatitis B virus-related acute-on-chronic liver failure: the pivotal role of CALLY index

  • By

  • Yijun Zhang

  • Chunyan Li

  • Shaohui Su

  • Jilin Huang

  • Siyu Fu

  • Yong Zhang

  • Shanhong Tang

  • July 3, 2026

  • 0 min

Share

Top Institutions in Gastroenterology

Brief introduction explaining scope and methodology.

  • #1

    Western Theater General Hospital
    Western Theater General Hospital

    Unknown, Unknown

    Key Differentiators

    • Hepatology

  • #2

    General Hospital of Western Theater Command
    General Hospital of Western Theater Command

    Unknown, Unknown

    Key Differentiators

    • Hepatology

  • #3

    Johns Hopkins Kimmel Cancer Center
    Johns Hopkins Kimmel Cancer Center

    Baltimore, MD

    Key Differentiators

    • Hepatology

  • #4

    Hunan Provincial People’s Hospital
    Hunan Provincial People’s Hospital

    Changsha, Hunan

    Key Differentiators

    • Hepatology

  • #5

    RWTH Aachen University
    RWTH Aachen University

    Aachen, North Rhine-Westphalia

    Key Differentiators

    • Hepatology

Original Source(s)

A machine learning model for 90-day mortality prediction in hepatitis B virus-related acute-on-chronic liver failure: the pivotal role of CALLY index

  • by Yijun Zhang, Chunyan Li, Shaohui Su, Jilin Huang, Siyu Fu, Yong Zhang, Shanhong Tang

  • July 3, 2026

Related Content

The role of the gut microbiota in the development of rheumatic diseases: a focus on fibromyalgia

Comparative discriminative ability of CVAI and traditional insulin resistance indices for MAFLD in Chinese adults with type 2 diabetes

Editorial: National Colorectal Cancer Awareness Month 2025: Current Progress and Future Prospects on Colorectal Cancer Prevention, Diagnosis and Treatment