A Study on Deduction Method of Significant Symptoms Combination based on Null Hypotheses

Oh yongtaek; KIM,ANNA

This study aims to propose an objective analysis method for significant symptoms combination applicable to vast amount of data including big data or clinical data instantly generated in real time, as a substitute for methods based on TKM experts' analysis. A mathematical method based on null hypotheses was used for analyzing relative multi frequency symptom-treatment combinations. These results were used for comparison with TKM experts' analysis on significant symptom-treatment combinations. Based on the correspondence of comparison of the two, for certain purposes relative multi frequency combinations may be considered and used as significant combinations. Therefore, the use of the mathematical method based on null hypotheses for analysing relative multi frequency combinations on text based combinations was appropriate. This method was applied to treatment related formula from Donguibogam and resulted in 39 combinations of significant symptom-symptom, symptom→condition, condition→symptom combinations. This study has some limitations using data only from pain treatment formula. Nevertheless, this limitation may be solved and lead to extended research using various sources of data. Combinations that were not applicable to the hypothesis "Combinations with frequent appearance in certain study subjects are more significant than combinations that are not" were not found. Also, combinations with relatively low frequency in appearance but was significant in result were not found. The limitations of this study requires further research to verify the hypothesis and analysis for combinations that cannot be covered by the hypothesis.

Citation status

KCI Citation Counts (0)
REFERENCES (13)
열림/닫힘 버튼
* 2022년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

[report] H-C. Jang / 2013 / Ontology-based traditional Korean medicine knowledge framework / Korea Institute of Oriental Medicine

[journal] 차웅석 / 2011 / Analysis of Herbal combination frequence on Clicical Herbal formulation Analysis of Herbal combination frequence on Clicical Herbal formulation / 대한한의학 방제학회지 / 대한한의학방제학회 19(2) : 1~10

[journal] 박병선 / 2008 / The Comparative Study between the Effect of Herbal Formula in Schoolbook and the Effect deduced from Compositional Herbal Effects / 대한한의학원전학회지 / 대한한의학원전학회 21(1) : 79~92

[journal] 박우용 / 2011 / Analysis of Prescriptions from Somunsunmyungronbang and Nansilbijang / 한국의사학회지 / 한국의사학회 24(2) : 117~123

[journal] 백진웅 / 2011 / A study on the frequencies of medicinal herb combinations in the prescriptions of 『Bangyakhappyeon(方藥合編)』 / 대한한의학원전학회지 / 대한한의학원전학회 24(4) : 55~67

[book] S-W. Shin. / 2009 / Study on the frequencies of medicinal herb combinations in the prescriptions of wenrejingwei / Journal of Physiology & Company

[journal] 오용택 / 2013 / Study on Systematizing the Combination of Method of Treatment and Symptoms Using the Basic Traditional Medicine Theory / 동의생리병리학회지 / 한의병리학회 27(4) : 383~390

[journal] 오용택 / 2011 / Study of connections between efficacy terms and remedy terms by conversion the raw terms into the representative terms / 대한한의학원전학회지 / 대한한의학원전학회 24(5) : 99~105

[journal] 김안나 / 2013 / A Study of Disassembling Major Indication Terms into Minimum Meaning Units and Linking to Diseases / 대한한의학 방제학회지 / 대한한의학방제학회 21(2) : 72~80 / http://dx.doi.org/10.14374/HFS.2013.21.2.072

[journal] Yong Taek Oh / 2014 / STUDY ON ANALYSIS OF SIGNIFICANCE OF SYMPTOM-TREATMENT METHOD COMBINATION / Journal of Applied Mathematics and Informatics / 한국전산응용수학회 32(5) : 737~746

[journal] 오용택 / 2014 / Study on the Ontology Linking by Acupuncture Terms / 한국콘텐츠학회 논문지 / 한국콘텐츠학회 14(9) : 556~566 / http://dx.doi.org/10.5392/JKCA.2014.14.09.556

[journal] Y-T. Oh. / 2014 / A study on diagnosis support using knowledge of diseases from literature / Journal of Daejeon university Traditional Korean Medicine Institute 23(1) : 13~20

[book] T-M. Song. / 2013 / Big data analysis methodology for science research / Hannarae publishing Company

KJC Korea
Journal Central

Statistics

Tools

Sharing

Issue List

Citation status