Machine learning applied to mild cognitive impairment: bibliometric and visual analysis from 2015 to 2024.

Journal: Frontiers in neurology
Published Date: May 21, 2025

Abstract

BACKGROUND: At present, the world is in the background of severe aging population challenges. Mild cognitive impairment (MCI), an intermediate state between normal aging and dementia, is a syndrome of cognitive impairment. Early recognition and intervention of MCI have great value for delaying the decline of cognitive function and improving the quality of life in the elderly. Machine learning (ML) is the core sub-branch direction in the field of artificial intelligence. In recent years, evaluating the potential application of machine learning in medicine has been popular, including the field of mild cognitive impairment. However, there is currently no bibliometrics to evaluate the scientific advances in this field.

Authors

  • Huan Liu
    Department of Chemical and Biochemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, Fujian, China.
  • Qing Huo
    Department of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
  • Feng Li
    Department of General Surgery, Shanghai Traditional Chinese Medicine (TCM)-INTEGRATED Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Xu Luo
    Southwest Hospital, Third Military Medical University, Chongqing, 400038 China.
  • Renli Deng
    Nursing Department, The Affiliated Hospital of Zunyi Medical University, Zunyi, China.

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