Multidimensional Feature Analysis of Meniere's Disease and Vestibular Migraine: Insights from Machine Learning and Vestibular Testing.

Journal: Journal of the Association for Research in Otolaryngology : JARO
Published Date: Apr 28, 2025

Abstract

OBJECTIVE: Differentiating between Meniere's disease (MD) and vestibular migraine (VM) is challenging due to overlapping symptoms and limited diagnostic tools. Traditional statistical methods often rely on physician judgment and struggle with complex, high-dimensional data. This study applies the random forest (RF) machine learning algorithm to enhance the clinical differentiation between MD and VM.

Authors

  • Yi Du
    Computer Network Information Center, Chinese Academy of Sciences, Beijing, China.
  • Xingjian Liu
    College of Otolaryngology Head and Neck Surgery, Chinese PLA General Hospital, Chinese PLA Medical School, 28 Fuxing Road, Haidian District, Beijing, 100853, China.
  • Lili Ren
    Key Laboratory of Bionic Engineering Ministry of Education Jilin University Changchun Jilin 130022 P. R. China.
  • Yu Wang
    Clinical and Technical Support, Philips Healthcare, Shanghai, China.
  • Ziming Wu
    WeChat, Tencent Inc., Guangzhou, Guangdong Province, China. Electronic address: zimingwu@tencent.com.

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