Prediction of new HIV infection in men who have sex with men based on machine learning: secondary analysis of a prospective cohort study from Western China.

Journal: Annals of medicine
PMID:

Abstract

OBJECTIVE: This study aimed to construct a model based on machine learning to predict new HIV infections in HIV-negative men who have sex with men (MSM).

Authors

  • Kangjie Li
    College of Computer Science and Technology, Zhejiang University of Technology, #288 Liuhe Road, Hangzhou, 310023, Zhejiang Province, P.R. China.
  • Guiqian Shi
    School of Public Health, Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China.
  • Cong Zhang
    School of Civil Engineering, Southeast University, Nanjing 210096, China.
  • Bing Lin
    Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, No. 37 Shierqiao Avenue, Jinniu District, Chengdu 610075, China.
  • Yi Tao
    Center of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing 100193, China; Medical School of Chinese PLA, Beijing 100083, China.
  • Qian Wang
    Department of Radiation Oncology, China-Japan Union Hospital of Jilin University, Changchun, China.
  • Haijiao Zeng
    School of Public Health, Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China.
  • Jielian Deng
    Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China.
  • Lei Zou
    School of Public Health, Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China.
  • Biao Xie
    Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China. kybiao@cqmu.edu.cn.
  • Xiaoni Zhong
    Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China. zhongxiaoni@cqmu.edu.cn.