Computer-assisted prediction of atherosclerotic intimal thickness based on weight of adrenal gland, interleukin-6 concentration, and neural networks.

Journal: The Journal of international medical research
Published Date: Jan 1, 2020

Abstract

OBJECTIVE: Atherosclerosis (AS) is the main pathological basis of ischemic cardio-cerebrovascular diseases, and the intimal thickness (IT) of large arteries is regarded as a powerful evaluation indicator for AS. We established an effective neural network model for automatic prediction of the IT and analyzed the high-risk warning indicators of IT.

Authors

  • Ling-Bing Meng
    Neurology Department, Beijing Hospital, National Center of Gerontology, Beijing, P.R. China.
  • Yang-Fan Zou
    Department of Neurosurgery, Chinese PLA General Hospital-Sixth Medical Center, Beijing, P.R. China.
  • Meng-Jie Shan
    MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P.R. China.
  • Meng Zhang
    College of Software, Beihang University, Beijing, China.
  • Ruo-Mei Qi
    MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, P.R. China.
  • Ze-Mou Yu
    Department of Neurology, Peking University First Hospital, Beijing, P. R. China.
  • Peng Guo
    Department of Orthopedics, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, P.R. China.
  • Qian-Wei Zheng
    Neurology Department, Beijing Hospital, National Center of Gerontology, Beijing, P.R. China.
  • Tao Gong
    Educational Testing Service, Princeton, NJ, USA.

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