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Study on core herbs and herbal prescriptions from Internal medicine on Liver system in Korean Medicine

한방간계내과학 내 중요 본초 및 처방 분석 연구

  • Kim Anna (KM Data Division, Korea Institute of Oriental Medicine) ;
  • Seo Sumin (KM Data Division, Korea Institute of Oriental Medicine) ;
  • Kim Sangkyun (KM Data Division, Korea Institute of Oriental Medicine) ;
  • Lee Sanghun (KM Data Division, Korea Institute of Oriental Medicine) ;
  • Oh Yongtaek (Department of Diagnostics, College of Korean Medicine, Woosuk University)
  • 김안나 (한국한의학연구원 한의약데이터부) ;
  • 서수민 (한국한의학연구원 한의약데이터부) ;
  • 김상균 (한국한의학연구원 한의약데이터부) ;
  • 이상훈 (한국한의학연구원 한의약데이터부) ;
  • 오용택 (우석대학교 한의과대학 진단학교실)
  • Received : 2024.03.22
  • Accepted : 2024.05.23
  • Published : 2024.05.31

Abstract

Objective : This study aims to investigate core herbs and formulas in Internal Medicine on the Liver system (IML) to enhance the efficiency of teaching IML, Herbalogy, and Formula Science, as well as to increase the integration of these courses. Methods : The study employed the frequency concept, commonly utilized in previous studies, alongside network analysis. Results : This study identified frequently used herbs, herbs with high centrality, frequently combined herbs, and core formulas. The herb with the highest frequency was 'Angelicae Gigantis Radix', while the herb with the highest centrality was 'Citri Unshius Pericarpium', and the most frequent herb combination was 'Zingiberis Rhizoma - Citri Unshius Pericarpium'. The network analysis results revealed a total of 5 herbal combination communities. Conclusion : In this study, we identified core herbs using traditional frequency analysis methods. Additionally, to complement traditional analysis methods, we discovered core herbal combinations, and fundamental herbal prescriptions through network analysis. The results of this study can be utilized as foundational data to enhance the efficiency of education in Internal Medicine on the Liver system (IML), Herbology, and Formula Science courses, as well as to improve coherence and consistency between foundational and clinical subjects.

Keywords

Acknowledgement

이 논문은 한국한의학연구원 주요사업 "AI 한의사 개발을 위한 임상 빅데이터 수집 및 서비스 플랫폼 구축(KSN1923111)" 지원을 받아 수행되었습니다.

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