Journal of Physiology & Pathology in Korean Medicine (동의생리병리학회지)

The Physiological Society of Korean Medicine and The Society of Pathology in Korean Medicine (대한동의생리학회·한의병리학회)
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Geometrical Analysis of Geum-Won Era Prescriptions : A Novel Approach to Traditional Asian Medicine's Basic Theory

금원사대가 처방운용패턴의 기하학적 분석 : 한의학 기초이론에 대한 새로운 접근

  • Hyojin Bae (Department of Physiology, College of Korean Medicine, Gachon University) ;
  • Chang-Eop Kim (Department of Physiology, College of Korean Medicine, Gachon University)
  • 배효진 (가천대학교 한의과대학 생리학교실) ;
  • 김창업 (가천대학교 한의과대학 생리학교실)
  • Received : 2023.09.05
  • Accepted : 2023.10.25
  • Published : 2023.10.25
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Abstract

Throughout history, Traditional Asian Medicine (TAM) has accumulated diverse theories and extensive knowledge from different medical scholars and schools of thought. While numerous qualitative studies have explored the unique theoretical and prescriptive characteristics of each scholar and school of thought, quantitative research with complementary roles remains limited. This study seeks to explore the potential of geometric data structure analysis as a novel quantitative method to enhance understanding of the basic theories of TAM. Specifically, by analyzing the prescriptions of the four noted scholars of Geum-Won era, we evaluated the similarity of representation of herbs and analyzed the topological properties of prescription networks. Our results suggest that there are both subspaces that are significantly shared among scholars and unique subspaces that are not aligned by linear transformation. From the constructed prescription networks, we found a pattern of continuous variation among the prescriptions, which generates a specific directional trajectory on the herbal manifold. Furthermore, we can derive specific directions for future research from the analysis results. Our study highlights that the analysis of TAM theories using mathematical methods can contribute to the modernization of the theories and allow the existing theories to be understood from a novel perspective.

Keywords

Acknowledgement

본 연구는 과학기술정보통신부의 재원으로 한국연구재단(No. 2022R1F1A1068841)과 한국한의학연구원 주요사업 AI 한의사 개발을 위한 임상 빅데이터 수집 및 서비스 플랫폼 구축(KSN2021110)의 지원을 받아 수행되었으며, 이에 감사드립니다.

References

  1. Park M, Kim YM. Comparative Study on Etiological Cause, Pathogenesis Mechanism of 'Shanghanlun' and 'Wenbingtiaobian'. J Physiol & Pathol Korean Med. 2013;27(1):1-10.
  2. Choi HY, Kim KJ. Basic Principles of the 'Spleen-stomach theory' by Li Dong-yuan. J Physiol & Pathol Korean Med. 2010;24(6):911-20.
  3. Kim K-W, Park H-G. Comparative study on the theory of 'Ministerial-fire' between Zhu Dan-Xi and Jang Gyung-Ak. J Korean Med Classics. 2006;19(4):12-26.
  4. Jang DY, Oh KC, Jung ES, et al. Diversity of acupuncture point selections according to the acupuncture styles and their relations to theoretical elements in traditional asian medicine: a data-mining-based literature study. Journal of Clinical Medicine. 2021;10(10):2059.
  5. Oh J. Can Similarities in Medical thought be Quantified? J Korean Med Classics. 2018;31(2):71-82.
  6. Kim KW, Kim TY, Lee BW. Analysis of Prescriptions from Taepyeonghyeminhwajegukbang, Somunsunmyungronbang and Nansilbijang based on Herb weight ratio grade. J Korean Med Classics. 2014;27(4):73-84 https://doi.org/10.14369/skmc.2014.27.4.073
  7. Newman I, Benz CR. Qualitative-quantitative research methodology: Exploring the interactive continuum. SIU Press; 1998.
  8. Raghu M, Gilmer J, Yosinski J, Sohl-Dickstein J. Svcca: Singular vector canonical correlation analysis for deep learning dynamics and interpretability. Advances in neural information processing systems. 2017;30.
  9. Fefferman C, Mitter S, Narayanan H. Testing the manifold hypothesis. Journal of the American Mathematical Society. 2016;29(4):983-1049. https://doi.org/10.1090/jams/852
  10. Jazayeri M, Ostojic S. Interpreting neural computations by examining intrinsic and embedding dimensionality of neural activity. Current opinion in neurobiology. 2021;70:113-20. https://doi.org/10.1016/j.conb.2021.08.002
  11. Del Giudice M. Effective dimensionality: A tutorial. Multivariate behavioral research. 2021;56(3):527-42. https://doi.org/10.1080/00273171.2020.1743631