A comprehensive overview of acupuncture therapy over the past 20 years: Machine learning-based bibliometric analysis.

Journal: Complementary therapies in medicine
PMID: 39542380

Abstract

BACKGROUND: Acupuncture, a therapy created by the ancient Chinese, has been gaining increasing popularity and acceptance worldwid. The surge in the number of publications on acupuncture therapy has posed significant challenges for researchers in effectively managing the vast amount of information. This study aimed to analyze the themes and topics of the scientific publications related to acupuncture therapy in the past two decades by machine learning.

Authors

  • Chen Liu
    Department of Radiology, Southwest Hospital, Third Military Medical University (Army Military Medical University), Chongqing, China.
  • Shuqing Liu
    Beijing University of Chinese Medicine, Beijing 100029, PR China; Dongfang Hospital of Beijing University of Chinese Medicine, Beijing 100078, PR China.
  • Yu Wang
    Clinical and Technical Support, Philips Healthcare, Shanghai, China.
  • Xinyi Xia
    Department of Cardiology, Union Hospital, Huazhong University of Science and Technology and Key Laboratory of Biological Targeted Therapy of the Ministry of Education, Tongji Medical College, Wuhan, China.
  • Yu Zhang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Huili Jiang
    School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, PR China.
  • Tuya Bao
    School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, PR China.
  • Xuehong Ma
    Beijing University of Chinese Medicine, Beijing 100029, PR China; Dongfang Hospital of Beijing University of Chinese Medicine, Beijing 100078, PR China. Electronic address: maxh9713@163.com.

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