Estimation of Machine Learning-Based Models to Predict Dementia Risk in Patients With Atherosclerotic Cardiovascular Diseases: UK Biobank Study.

Journal: JMIR aging
PMID: 40009844

Abstract

BACKGROUND: The atherosclerotic cardiovascular disease (ASCVD) is associated with dementia. However, the risk factors of dementia in patients with ASCVD remain unclear, necessitating the development of accurate prediction models.

Authors

  • Zhengsheng Gu
    Department of Neurology, First Affiliated Hospital of Naval Medical University, Shanghai, China.
  • Shuang Liu
    Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China.
  • Huijuan Ma
    KLATASDS-MOE, Academy of Statistics and Interdisciplinary Sciences, School of Statistics, East China Normal University, Shanghai, China.
  • Yifan Long
    Zhejiang Laboratory, Hangzhou, Zhejiang 311121, China.
  • Xuehao Jiao
    Department of Neurology, First Affiliated Hospital of Naval Medical University, Shanghai, China.
  • Xin Gao
    Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey, USA.
  • Bingying Du
    Department of Neurology, First Affiliated Hospital of Naval Medical University, Shanghai, China.
  • Xiaoying Bi
  • Xingjie Shi
    KLATASDS-MOE, Academy of Statistics and Interdisciplinary Sciences, School of Statistics, East China Normal University, Shanghai, China.

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