Analysis of Synergistic and Antagonistic Effects of TCM: Cases on Diabetes and Insomnia

Martin McGrane; Simon Poon; Junbin Gao; Josiah Poon; Xuezhong Zhou; Runshun Zhang; Baoyan Liu; Kelvin Chan; Clement Loy; Paul H Kwan; Daniel Sze

doi:10.1109/BIBMW.2010.5703873

Analysis of Synergistic and Antagonistic Effects of TCM: Cases on Diabetes and Insomnia

Martin McGrane
, Simon Poon
, Junbin Gao
, Josiah Poon
, Xuezhong Zhou
, Runshun Zhang
, Baoyan Liu
, Kelvin Chan
, Clement Loy
, Paul H Kwan
, Daniel Sze

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Background: Herbal Medicine in Traditional Chinese Medicine (TCM) relies on interactions between the ingredients of a prescription. The combination is chosen to promote desirable interactions. Analyzing these interactions is an important step in quantitatively analyzing the effects of TCM on patient outcomes. The concept of interactions has not been adequately formulated in analyzing the effects of TCM due to the ambiguity of "interaction" and the need to go beyond traditional quantitative methods for analyzing data. Results: In this working paper, we present an exploratory analysis of clinical records of treatment using an interaction pattern mining approach. We present the most significant interactions found with a summary of the clinical significance of the interactions. Conclusions: Experimental evaluation confirms that this approach is able to detect effective high order herb-herb interactions in high dimensional TCM datasets. The interaction mining approach can be a potentially useful technique for discovering interactions not detected by other analysis techniques. The results will have implications for better understanding of the mechanisms of action and the overall system effects.

Original language	English
Title of host publication	Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)
Place of Publication	Los Alamitos, United States of America
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	620-624
ISBN (Print)	9781424483037
DOIs	https://doi.org/10.1109/BIBMW.2010.5703873
Publication status	Published - 2010
Event	BIBM 2010: IEEE International Conference on Bioinformatics and Biomedicine - Hong Kong, China Duration: 18 Dec 2010 → 21 Dec 2010

Conference

Conference	BIBM 2010: IEEE International Conference on Bioinformatics and Biomedicine
City	Hong Kong, China
Period	18/12/10 → 21/12/10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Decision Support and Group Support Systems
Pattern Recognition and Data Mining
Health Information Systems (incl Surveillance)

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10.1109/BIBMW.2010.5703873

https://hdl.handle.net/1959.11/7950

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McGrane, M., Poon, S., Gao, J., Poon, J., Zhou, X., Zhang, R., Liu, B., Chan, K., Loy, C., Kwan, P. H., & Sze, D. (2010). Analysis of Synergistic and Antagonistic Effects of TCM: Cases on Diabetes and Insomnia. In Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) (pp. 620-624). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/BIBMW.2010.5703873

@inproceedings{ef8ee3684db6472390d1d088f5dce647,

title = "Analysis of Synergistic and Antagonistic Effects of TCM: Cases on Diabetes and Insomnia",

abstract = "Background: Herbal Medicine in Traditional Chinese Medicine (TCM) relies on interactions between the ingredients of a prescription. The combination is chosen to promote desirable interactions. Analyzing these interactions is an important step in quantitatively analyzing the effects of TCM on patient outcomes. The concept of interactions has not been adequately formulated in analyzing the effects of TCM due to the ambiguity of {"}interaction{"} and the need to go beyond traditional quantitative methods for analyzing data. Results: In this working paper, we present an exploratory analysis of clinical records of treatment using an interaction pattern mining approach. We present the most significant interactions found with a summary of the clinical significance of the interactions. Conclusions: Experimental evaluation confirms that this approach is able to detect effective high order herb-herb interactions in high dimensional TCM datasets. The interaction mining approach can be a potentially useful technique for discovering interactions not detected by other analysis techniques. The results will have implications for better understanding of the mechanisms of action and the overall system effects.",

keywords = "Decision Support and Group Support Systems, Pattern Recognition and Data Mining, Health Information Systems (incl Surveillance)",

author = "Martin McGrane and Simon Poon and Junbin Gao and Josiah Poon and Xuezhong Zhou and Runshun Zhang and Baoyan Liu and Kelvin Chan and Clement Loy and Kwan, \{Paul H\} and Daniel Sze",

year = "2010",

doi = "10.1109/BIBMW.2010.5703873",

language = "English",

isbn = "9781424483037",

pages = "620--624",

booktitle = "Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

note = "BIBM 2010: IEEE International Conference on Bioinformatics and Biomedicine ; Conference date: 18-12-2010 Through 21-12-2010",

}

McGrane, M, Poon, S, Gao, J, Poon, J, Zhou, X, Zhang, R, Liu, B, Chan, K, Loy, C, Kwan, PH & Sze, D 2010, Analysis of Synergistic and Antagonistic Effects of TCM: Cases on Diabetes and Insomnia. in Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). Institute of Electrical and Electronics Engineers (IEEE), Los Alamitos, United States of America, pp. 620-624, BIBM 2010: IEEE International Conference on Bioinformatics and Biomedicine, Hong Kong, China, 18/12/10. https://doi.org/10.1109/BIBMW.2010.5703873

Analysis of Synergistic and Antagonistic Effects of TCM: Cases on Diabetes and Insomnia. / McGrane, Martin; Poon, Simon; Gao, Junbin et al.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). Los Alamitos, United States of America: Institute of Electrical and Electronics Engineers (IEEE), 2010. p. 620-624.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Analysis of Synergistic and Antagonistic Effects of TCM

T2 - BIBM 2010: IEEE International Conference on Bioinformatics and Biomedicine

AU - McGrane, Martin

AU - Poon, Simon

AU - Gao, Junbin

AU - Poon, Josiah

AU - Zhou, Xuezhong

AU - Zhang, Runshun

AU - Liu, Baoyan

AU - Chan, Kelvin

AU - Loy, Clement

AU - Kwan, Paul H

AU - Sze, Daniel

PY - 2010

Y1 - 2010

N2 - Background: Herbal Medicine in Traditional Chinese Medicine (TCM) relies on interactions between the ingredients of a prescription. The combination is chosen to promote desirable interactions. Analyzing these interactions is an important step in quantitatively analyzing the effects of TCM on patient outcomes. The concept of interactions has not been adequately formulated in analyzing the effects of TCM due to the ambiguity of "interaction" and the need to go beyond traditional quantitative methods for analyzing data. Results: In this working paper, we present an exploratory analysis of clinical records of treatment using an interaction pattern mining approach. We present the most significant interactions found with a summary of the clinical significance of the interactions. Conclusions: Experimental evaluation confirms that this approach is able to detect effective high order herb-herb interactions in high dimensional TCM datasets. The interaction mining approach can be a potentially useful technique for discovering interactions not detected by other analysis techniques. The results will have implications for better understanding of the mechanisms of action and the overall system effects.

AB - Background: Herbal Medicine in Traditional Chinese Medicine (TCM) relies on interactions between the ingredients of a prescription. The combination is chosen to promote desirable interactions. Analyzing these interactions is an important step in quantitatively analyzing the effects of TCM on patient outcomes. The concept of interactions has not been adequately formulated in analyzing the effects of TCM due to the ambiguity of "interaction" and the need to go beyond traditional quantitative methods for analyzing data. Results: In this working paper, we present an exploratory analysis of clinical records of treatment using an interaction pattern mining approach. We present the most significant interactions found with a summary of the clinical significance of the interactions. Conclusions: Experimental evaluation confirms that this approach is able to detect effective high order herb-herb interactions in high dimensional TCM datasets. The interaction mining approach can be a potentially useful technique for discovering interactions not detected by other analysis techniques. The results will have implications for better understanding of the mechanisms of action and the overall system effects.

KW - Decision Support and Group Support Systems

KW - Pattern Recognition and Data Mining

KW - Health Information Systems (incl Surveillance)

UR - http://www.math.hkbu.edu.hk/BIBM2010/

U2 - 10.1109/BIBMW.2010.5703873

DO - 10.1109/BIBMW.2010.5703873

M3 - Conference contribution

SN - 9781424483037

SP - 620

EP - 624

BT - Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Los Alamitos, United States of America

Y2 - 18 December 2010 through 21 December 2010

ER -

McGrane M, Poon S, Gao J, Poon J, Zhou X, Zhang R et al. Analysis of Synergistic and Antagonistic Effects of TCM: Cases on Diabetes and Insomnia. In Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). Los Alamitos, United States of America: Institute of Electrical and Electronics Engineers (IEEE). 2010. p. 620-624 doi: 10.1109/BIBMW.2010.5703873

Analysis of Synergistic and Antagonistic Effects of TCM: Cases on Diabetes and Insomnia

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Conference

UN SDGs

Keywords

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