Predicting Quality of Life in People Living with HIV: A Machine Learning Model Integrating Multidimensional Determinants.

Journal: Health and quality of life outcomes
Published Date: Jul 4, 2025

Abstract

OBJECTIVE: With survival steadily improving among people living with HIV(PLWH), quality of life (QoL) has emerged as the ultimate benchmark of therapeutic success. We therefore aimed to develop and validate machine learning models that predict QoL trend in PLWH, identifying key determinants to inform personalized interventions and optimize long-term well-being.

Authors

  • Meilian Xie
    Nursing Management Department, Beijing Ditan Hospital, Capital Medical University, Beijing, China. xiemeilian@mail.ccmu.edu.cn.
  • Zhiyun Zhang
    Nursing Management Department, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
  • Yanping Yu
    Beijing Home of Red Ribbon, Beijing Ditan Hospital Capital Medical University, Beijing, China.
  • Li Zhang
    Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
  • Jieli Zhang
    Department of Infectious Disease Medicine, Fifth Medical Center of Chinese, PLA General Hospital, Beijing, China.
  • Dongxia Wu
    Department of Infection and Immunology, Beijing Youan Hospital Capital Medical University, Beijing, China.

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