Predicting children and adolescents at high risk of poor health‑related quality of life using machine learning methods.

Journal: Health and quality of life outcomes
Published Date: Aug 26, 2025

Abstract

BACKGROUND: Existing research has identified health‑related quality of life (HRQoL) is influenced by a multitude of factors among children and adolescents. However, there has been relatively limited exploration of the multidimensional predictive factors (individual characteristics, health risk behaviors, and negative life events) that contribute to HRQoL. This study aimed to develop a nomogram to predict the HRQoL in children and adolescents.

Authors

  • Chang Xiong
    The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, 214023, China.
  • Lili Zhang
    Pharmaceutics Department, Institute of Medicinal Biotechnology, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, PR China.
  • Zhijuan Li
    The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, 214023, China.
  • Jiaqi Chen
    Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Hongdan Qian
    The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, 214023, China. space0403@163.com.

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