Prediction of clinical efficacy of acupuncture intervention on upper limb dysfunction after ischemic stroke based on machine learning: a study driven by DSA diagnostic reports data.

Journal: Frontiers in neurology
Published Date: Jan 7, 2025

Abstract

OBJECTIVE: To develop a machine learning-based model for predicting the clinical efficacy of acupuncture intervention in patients with upper limb dysfunction following ischemic stroke, and to assess its potential role in guiding clinical practice.

Authors

  • Yaning Liu
    School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Yuqi Tang
    School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Zechen Li
    School of Automation, Chongqing University, Chongqing, China.
  • Pei Yu
    School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Jing Yuan
    School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Lichuan Zeng
    Department of Radiology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Can Wang
    School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Su Li
    School of Automation, Chongqing University, Chongqing, China.
  • Ling Zhao
    School of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.

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