Classification of coronary artery disease using radial artery pulse wave analysis via machine learning.

Journal: BMC medical informatics and decision making
PMID: 39285363

Abstract

BACKGROUND: Coronary artery disease (CAD) is a major global cardiovascular health threat and the leading cause of death in many countries. The disease has a significant impact in China, where it has become the leading cause of death. There is an urgent need to develop non-invasive, rapid, cost-effective, and reliable techniques for the early detection of CAD using machine learning (ML).

Authors

  • Yi Lyu
    School of Public Health, Shanxi Medical University, Taiyuan 030000, China.
  • Hai-Mei Wu
    Guangdong Provincial Traditional Chinese Medicine Hospital, Guangzhou, 510120, P.R. China.
  • Hai-Xia Yan
    School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, P.R. China.
  • Rui Guo
    College of Chemistry&Chemical Engineering, Xiamen University, Xiamen 361005, China.
  • Yu-Jie Xiong
    Shanghai University of Engineering Science, Shanghai, 201620, P.R. China.
  • Rui Chen
    College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shanxi, China.
  • Wen-Yue Huang
    Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, P.R. China.
  • Jing Hong
    Department of Ophthalmology, Peking University Third Hospital, Beijing, China hongjing196401@163.com.
  • Rong Lyu
    School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, P.R. China.
  • Yi-Qin Wang
    School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, P.R. China.
  • Jin Xu
    Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, and School of Statistics, East China Normal University, Shanghai, China.

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