Development and validation of a machine learning model for in-hospital mortality prediction in children under 5 years with heart failure.

Journal: Frontiers in pediatrics
Published Date: May 26, 2025

Abstract

BACKGROUND: Heart failure (HF) in children under five years of age carries a high risk of in-hospital mortality, yet existing pediatric risk assessment tools lack specificity for this population. There is a pressing need for reliable, interpretable prediction models tailored to pediatric HF.

Authors

  • Huasheng Lv
    Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
  • Fengyu Sun
    Department of Pediatrics, Xinjiang Medical University, Urumqi, China.
  • Teng Yuan
    Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
  • Haoliang Shen
    Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
  • Lazaiyi Baheti
    Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
  • You Chen
    Dept. of Biomedical Informatics, School of Medicine, Vanderbilt University, Nashville, TN, USA.

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