DOI QR코드

DOI QR Code

팔강변증의 진단율 향상을 위한 형색맥증진단(形色脈證診斷)시스템 설계 - 한열변증을 중심으로 -

Proposal of Form-Color-Pulse-Symptom Diagnostic System for Enhancement of Diagnostic Rate of 8 Principle Pattern Identification - Focusing on Cold Heat Pattern Identification -

  • 지규용 (동의대학교 한의과대학 한의학과 병리학교실) ;
  • 이인선 (동의대학교 한의과대학 부인과학교실) ;
  • 전수형 (동의대학교 한의과대학 한의학과 사상체질의학교실) ;
  • 김종원 (동의대학교 한의과대학 한의학과 사상체질의학교실)
  • Chi, Gyoo Yong (Department of Korean Pathology, College of Korean Medicine, Dongeui University) ;
  • Lee, In Seon (Department of Korean Gyneco-Obstetrics, College of Korean Medicine, Dongeui University) ;
  • Jeon, Soo Hyung (Department of Sasang Constitutional Medicine, College of Korean Medicine, Dongeui University) ;
  • Kim, Jong Won (Department of Sasang Constitutional Medicine, College of Korean Medicine, Dongeui University)
  • 투고 : 2019.01.29
  • 심사 : 2019.06.10
  • 발행 : 2019.06.25

초록

In order to enhance the 8 principle pattern diagnosis rate comparing with diagnostic method by self-report questionnaire on cold/heat pattern in the clinical practice, a new diagnostic method using form-color-pulse-symptom (FCPS) system is proposed. FCPS system is composed of outputs of cold/heat pattern through the calculation process of contribution degree to the cold, heat pattern and qi, blood, yin, yang deficiency patterns, based on analysis of 16 mechanisms of disease calculated by diagnostic system of oriental medicine (DSOM) first. And second component is an output of differentiated 8 principle patterns in detail through binding and calculating process with digital informations of pulse, color, form, constitution obtained by computerized measurement system. Putting together above two processes consecutively, cold-heat complex or true/false cold/heat patterns and personalized characters of cold/heat patterns of each patient can be subdivided through a computation method of determining each pattern. In conclusion, 8 principle pattern identification can be performed more accurately using FCPS system than existent self report questionnaire method. These hypothetic proposal is needed to be proven by clinical trial for the future and then the accurate numbers used in each calculational function should be revised properly.

키워드

참고문헌

  1. Lee BG, Park YB, Kim TH. Korean medicine diagnostics (II), Pattern identification. Seoul: Seongbosa; 2004. p. 14, 20-3.
  2. Kim JH. A Comparative Research of Eight Principle Pattern Identification - based on Zhang Jie-Bin, Cheng Guo-Peng, and Jiang Han-Tun -. J Korean Med Classics. 2013;26(2):47-59. https://doi.org/10.14369/skmc.2013.26.2.047
  3. Katayama K, Yamaguchi R, Imoto S, Watanabe K, Miyano S. Analysis of questionnaire for traditional medicine and development of decision support system. Evid Based Complement Alternat Med [Internet]. 2014 Jan [cited 2014 Jan 28]. Available from: https://www.hindawi.com/journals/ecam/2014/974139/
  4. Kim JP. A study on the diagnostic value and significance of 'the diagnosis of body form' in Hyungsang medicine. Graduate School, Dongeui University, PhD degree dissertation, 2016.
  5. Kim SK, Im JJ, Park YJ, Park YB. The Effect of Han-Yeol Attribute on the Mechanocardiogram. J Korea Instit Orient Med Diagn. 2004;8(2):135-53.
  6. Fu C, Zhang NL, Chen BX, Chen ZR, Jin XL, Guo RJ, et al. Identification and classification of traditional Chinese medicine syndrome types among senior patients with vascular mild cognitive impairment using latent tree analysis. J Integr Med. 2017;15(3):186-200. https://doi.org/10.1016/S2095-4964(17)60335-2
  7. Tan S, Tillisch K, Bolus SR, Olivas TI, Spiegel BM, Naliboff B, et al. Traditional Chinese medicine based subgrouping of irritable bowel syndrome patients. Am J Chin Med. 2005;33(3):365-79. https://doi.org/10.1142/S0192415X05002989
  8. Bae NS, Park YJ, Oh HS, Park YB, Preceding Studies for Questionnaires on Han-Yol Patternization, J Korea Instit Orient Med Diagn. 2005;9(1):98-111.
  9. Ryu HH, Lee HJ, Jang ES, Choi SM, Lee SG, Lee SW. Study on Development of Cold-Heat Pattern Questionnaire. J Physiol & Pathol Korean Med. 2008;22(6);1410-5.
  10. Yeo MK, Park KH, Bae KH, Jang ES, Lee YS. Development on the Questionnaire of Cold-Heat Pattern Identification Based on Usual Symptoms for Health Promotion - Focused on Reliability Study. J Physiol & Pathol Korean Med. 2016;30(2):116-23. https://doi.org/10.15188/kjopp.2016.04.30.2.116
  11. Bae KH, Yoon YH, Yeo MK, Kim HS, Lee YS, Lee SW. Development on the Questionnaire of Cold-Heat Pattern Identification Based on Usual Symptoms for Health Promotion- Focused on Agreement Study. Journal of Society of Preventive Korean Medicine. 2016;20(2):17-26.
  12. Yeo MK, Lee YS. Analysis of Clinical Research Trends on Cold-Heat Pattern Identification in Korea - Focused on Quantitative Indicators for General People. J Physiol & Pathol Korean Med. 2017;31(2):145-52. https://doi.org/10.15188/kjopp.2017.04.31.2.145
  13. Lee JC, Jin HJ. Development of a Web Based Pattern Identification System with Questionnaire Optimization. J Physiol & Pathol Korean Med. 2013;27(6):827-31.
  14. Textbook compilation committee of Korean medicine pathology. Korean Medicine Pathology. Seoul: Hanyi Culture Publishing; 2017. p. 63-4, 294-5, 304.
  15. Chi GY, Lee IS, Kim KK, Jeon SH, Kim JW. Analysis of Pathomechanisms of Dysmenorrhea by Diagnosis System of Oriental Medicine Pattern Identification Instrument. J Physiol & Pathol Korean Med. 2016;30(4):274-8. https://doi.org/10.15188/kjopp.2016.08.30.4.274
  16. Jeon RH, Lee IS, Research and Development on Online Program of Oriental Medicine Diagnosis by Principal Component Analysis. J korean Obstet Gynecol. 1998;11(2):290-314.
  17. Lee IS, Um YK, Kim JW, Ji GY, Lee YT, Kim GG. Study on Accuracy of DSOM Diagnosis about Uterus Myoma Patients. Korean J Orient Physiol Pathol. 2006;20(3):740-7.
  18. Lee IS, Kim JW, Chi GY, Lee YT, Kim KK. Reliability Study for Upgrade of Diagnosis System of Oriental Medicine DSOM(r) S.1.1. Korean J Orient Physiol Pathol. 2012;26(1):88-97.
  19. Zhang MQ. Literature study of ancient literature on deficiency-heat pattern and the rules of herbs and patterns, Beijing university of Chinese medicine. Beijing:Treatise of BA; 2015. p. 7-14.
  20. Joo JC, Lee SW, Park SJ. Comparison of Health Status and Mibyeong Characteristics between Cold Syndrome and Heat Syndrome by Cold Heat Syndrome Differentiation Score. J Korean Med. 2018;39(1):13-21.