Predictive model and risk analysis for coronary heart disease in people living with HIV using machine learning.

Journal: BMC medical informatics and decision making
Published Date:

Abstract

OBJECTIVE: This study aimed to construct a coronary heart disease (CHD) risk-prediction model in people living with human immunodeficiency virus (PLHIV) with the help of machine learning (ML) per electronic medical records (EMRs).

Authors

  • Zengjing Liu
    Information and Management College of Guangxi Medical University, Nanning, Guangxi, 530021, China.
  • Zhihao Meng
    Guangxi Clinical Center for AIDS Prevention and Treatment, Chest Hospital of Guangxi Zhuang Autonomous Region, No. 8 Yangjiaoshan Road, Liuzhou, Guangxi, 545005, China.
  • Di Wei
    Guangxi Clinical Center for AIDS Prevention and Treatment, Chest Hospital of Guangxi Zhuang Autonomous Region, No. 8 Yangjiaoshan Road, Liuzhou, Guangxi, 545005, China.
  • Yuan Qin
    College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China.
  • Yu Lv
    Guangxi Clinical Center for AIDS Prevention and Treatment, Chest Hospital of Guangxi Zhuang Autonomous Region, No. 8 Yangjiaoshan Road, Liuzhou, Guangxi, 545005, China.
  • Luman Xie
    Guangxi Clinical Center for AIDS Prevention and Treatment, Chest Hospital of Guangxi Zhuang Autonomous Region, No. 8 Yangjiaoshan Road, Liuzhou, Guangxi, 545005, China.
  • Hong Qiu
    Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China.
  • Bo Xie
    Department of Orthodontics, The Affiliated Stomatological Hospital of Southwest Medical University, Luzhou, China.
  • Lanxiang Li
    Basic Medical College of Guangxi Medical University, Nanning, Guangxi, 530021, China.
  • Xihua Wei
    Life Sciences College of Guangxi Medical University, Nanning, Guangxi, 530021, China.
  • Die Zhang
    Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co- constructed by the Province, Ministry of Guangxi Medical University, Nanning, Guangxi, 530021, China.
  • Boying Liang
    Basic Medical College of Guangxi Medical University, Nanning, Guangxi, 530021, China.
  • Wen Li
  • Shanfang Qin
    Guangxi Clinical Center for AIDS Prevention and Treatment, Chest Hospital of Guangxi Zhuang Autonomous Region, No. 8 Yangjiaoshan Road, Liuzhou, Guangxi, 545005, China.
  • Tengyue Yan
    Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co- constructed by the Province, Ministry of Guangxi Medical University, Nanning, Guangxi, 530021, China.
  • Qiuxia Meng
    Information and Management College of Guangxi Medical University, Nanning, Guangxi, 530021, China.
  • Huilin Wei
    Department of Interventional Therapy, Ningbo No. 2 Hospital, Ningbo, China.
  • Guiyang Jiang
    Department of rehabilitation medicine, Department of the First affliated hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China.
  • Lingsong Su
    Guangxi Clinical Center for AIDS Prevention and Treatment, Chest Hospital of Guangxi Zhuang Autonomous Region, No. 8 Yangjiaoshan Road, Liuzhou, Guangxi, 545005, China.
  • Nili Jiang
    Life Sciences College of Guangxi Medical University, Nanning, Guangxi, 530021, China.
  • Kai Zhang
    Anhui Province Key Laboratory of Respiratory Tumor and Infectious Disease, First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
  • Jiannan Lv
    Affiliate Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, China. gxaidscc@163.com.
  • Yanling Hu
    Information and Management College of Guangxi Medical University, Nanning, Guangxi, 530021, China. ylhupost@163.com.