Korean Journal of Acupuncture

  • 제40권4호
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  • Pages.177-183
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  • 2023
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  • 2287-3368(pISSN)
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  • 2287-3376(eISSN)
경락경혈학회 (Society for Meridian and Acupoint)
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데이터마이닝과 네트워크분석을 통한 팔맥교회혈의 배합 패턴 연구

Eight Confluent Acupoint Combinations Patterns: Data Mining and Network Analysis

  • 권민정 (경희대학교 한의과대학 경혈학교실) ;
  • 윤다은 (경희대학교 한의과대학 경혈학교실) ;
  • 문희영 (경희대학교 한의과대학 경혈학교실) ;
  • 류연희 (한국한의학연구원 한의과학부) ;
  • 이인선 (경희대학교 한의과대학 경혈학교실) ;
  • 채윤병 (경희대학교 한의과대학 경혈학교실)
  • Min-Jeong Kwon (Department of Meridian and Acupoints, College of Korean Medicine, Kyung Hee University) ;
  • Da-Eun Yoon (Department of Meridian and Acupoints, College of Korean Medicine, Kyung Hee University) ;
  • Heeyoung Moon (Department of Meridian and Acupoints, College of Korean Medicine, Kyung Hee University) ;
  • Yeonhee Ryu (KM Science Research Division, Korea Institute of Oriental Medicine) ;
  • In-Seon Lee (Department of Meridian and Acupoints, College of Korean Medicine, Kyung Hee University) ;
  • Younbyoung Chae (Department of Meridian and Acupoints, College of Korean Medicine, Kyung Hee University)
  • 투고 : 2023.10.16
  • 심사 : 2023.11.23
  • 발행 : 2023.12.27
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초록

Objectives : One of the crucial combinations of acupoints for treating various disorders involves the Eight Confluent acupoints. The present study aims to investigate the selection patterns of the Eight Confluent acupoints in clinical trials and determine the most frequent pairings through network analysis. Methods : The frequencies of the Eight Confluent acupoints were extracted from the Acusynth database, which includes data from 421 clinical investigations. We examined the degree distribution, eigenvector centrality, proximity centrality, and betweenness centrality of these acupoint combinations using network analysis. Results : Data mining revealed that among the Eight Confluent acupoints, PC6 and TE5 were the most commonly applied in the treatment of 30 disorders. Additionally, we identified the most frequently co-occurring pairs of Eight Confluent acupoints by network analysis which included PC6-GV20, SP4-GV4, LU7-LI4, TE5-PC7, GB41-SP6, KI6-BL62, and SI3-BL62. Conclusions : Through the application of data mining and network analysis, we have elucidated the selection patterns and combinations of the Eight Confluent acupoints. These findings provide valuable insights that can enhance doctors' understanding of clinical database-driven Eight Confluent acupoint selection patterns.

키워드

과제정보

This research was supported by Korea Institute of Oriental Medicine (KSN1812181), Bio & Medical Technology Development Program of the National Research Foundation (NRF) funded by the Korean government (MSIT) (No. RS-2023-00262398), and Institute of Information and Communications Technology Planning and Evaluation (IITP) grant funded by the Korea government (MSIT) [No. RS-2022-00155911, Artificial Intelligence Convergence Innovation Human Resources Development (Kyung Hee University)].

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