Machine learning algorithms to predict the risk of hyperlipidemia in people living with HIV after starting HAART for 6 months.

Journal: AIDS (London, England)
Published Date: May 21, 2025

Abstract

OBJECTIVE: The purpose of this study was to use machine learning models to predict the risk of hyperlipidemia in people living with HIV (PLWHs) for 6 months after starting highly active antiretroviral therapy (HAART), to improve early intervention efforts and prevent further progression to cardiovascular and cerebrovascular diseases.

Authors

  • Yi Ding
    Clinical and Research Center of AIDS, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
  • Jialu Li
    Clinical and Research Center of AIDS, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
  • Chengyu Gao
    Clinical and Research Center of AIDS, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
  • Lulu Xing
  • Rui Sun
    The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China.
  • Yifan Guo
    Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology and College of Veterinary Medicine, Huazhong Agricultural University, 430070 Wuhan, PR China.
  • Wenhao Lv
    Department of Gastroenterology, The No.4 People's Hospital of Hengshui City, Hengshui 053000, China.
  • Jiantao Fu
  • Yining Zhao
  • Qinlan Li
  • Jiang Xiao
    Clinical and Research Center of AIDS, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
  • Fujie Zhang
    Faculty of Modern Agriculture Engineering, Kunming University of Science and Technology, Kunming, Yunnan, China.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals