Studying Herb-Herb Interaction for Insomnia through the theory of Complementarities

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

doi:10.1109/BIBMW.2010.5703897

Studying Herb-Herb Interaction for Insomnia through the theory of Complementarities

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

Computer Science

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

3 Citations (Scopus)

Abstract

The efficacy of a TCM medication derives from the herb-herb interaction in a formula. Although there are standard formulae, a practitioner will only pick a subset of formulas as templates and personalize them for the patients. It is not easy to determine the true interacting herbs to contribute to the effectiveness of a treatment. Association rule mining is an approach to find the co-occurrence of some items, however, it is not goal-oriented, and the generated results are very sensitive to the given parameters, i.e. support count. The aim of this paper is to introduce a new framework to systematically generate a set of combinations of interacting herbs that leads to good outcome. This algorithm was tested with a dataset of treatment of insomnia to understand the effectiveness of combination of herbs. Interesting and insightful results were noted and discussed.

Original language	English
Title of host publication	Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)
Editors	Diego di Bernardo, et al
Place of Publication	Los Alamitos, United States of America
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	722-726
ISBN (Print)	9781424483037, 9781424483044, 9781424483020
DOIs	https://doi.org/10.1109/BIBMW.2010.5703897
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

Keywords

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

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10.1109/BIBMW.2010.5703897

https://hdl.handle.net/1959.11/11962

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Poon, J., Poon, S., Gao, J., Yin, D., Chan, K., Loy, C., Zhou, X., Zhang, R., Liu, B., Kwan, P. H., & Sze, D. (2010). Studying Herb-Herb Interaction for Insomnia through the theory of Complementarities. In D. di Bernardo, & E. al (Eds.), Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) (pp. 722-726). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/BIBMW.2010.5703897

Poon, Josiah ; Poon, Simon ; Gao, Junbin et al. / Studying Herb-Herb Interaction for Insomnia through the theory of Complementarities. Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). editor / Diego di Bernardo ; et al. Los Alamitos, United States of America : Institute of Electrical and Electronics Engineers (IEEE), 2010. pp. 722-726

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title = "Studying Herb-Herb Interaction for Insomnia through the theory of Complementarities",

abstract = "The efficacy of a TCM medication derives from the herb-herb interaction in a formula. Although there are standard formulae, a practitioner will only pick a subset of formulas as templates and personalize them for the patients. It is not easy to determine the true interacting herbs to contribute to the effectiveness of a treatment. Association rule mining is an approach to find the co-occurrence of some items, however, it is not goal-oriented, and the generated results are very sensitive to the given parameters, i.e. support count. The aim of this paper is to introduce a new framework to systematically generate a set of combinations of interacting herbs that leads to good outcome. This algorithm was tested with a dataset of treatment of insomnia to understand the effectiveness of combination of herbs. Interesting and insightful results were noted and discussed.",

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

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

year = "2010",

doi = "10.1109/BIBMW.2010.5703897",

language = "English",

isbn = "9781424483037",

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

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

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Poon, J, Poon, S, Gao, J, Yin, D, Chan, K, Loy, C, Zhou, X, Zhang, R, Liu, B, Kwan, PH & Sze, D 2010, Studying Herb-Herb Interaction for Insomnia through the theory of Complementarities. in D di Bernardo & E al (eds), 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. 722-726, BIBM 2010: IEEE International Conference on Bioinformatics and Biomedicine, Hong Kong, China, 18/12/10. https://doi.org/10.1109/BIBMW.2010.5703897

Studying Herb-Herb Interaction for Insomnia through the theory of Complementarities. / Poon, Josiah; Poon, Simon; Gao, Junbin et al.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). ed. / Diego di Bernardo; et al. Los Alamitos, United States of America: Institute of Electrical and Electronics Engineers (IEEE), 2010. p. 722-726.

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

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AU - Poon, Simon

AU - Gao, Junbin

AU - Yin, Dawei

AU - Chan, Kelvin

AU - Loy, Clement

AU - Zhou, Xuezhong

AU - Zhang, Runshun

AU - Liu, Baoyan

AU - Kwan, Paul H

AU - Sze, Daniel

PY - 2010

Y1 - 2010

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AB - The efficacy of a TCM medication derives from the herb-herb interaction in a formula. Although there are standard formulae, a practitioner will only pick a subset of formulas as templates and personalize them for the patients. It is not easy to determine the true interacting herbs to contribute to the effectiveness of a treatment. Association rule mining is an approach to find the co-occurrence of some items, however, it is not goal-oriented, and the generated results are very sensitive to the given parameters, i.e. support count. The aim of this paper is to introduce a new framework to systematically generate a set of combinations of interacting herbs that leads to good outcome. This algorithm was tested with a dataset of treatment of insomnia to understand the effectiveness of combination of herbs. Interesting and insightful results were noted and discussed.

KW - Health Information Systems (incl Surveillance)

KW - Pattern Recognition and Data Mining

KW - Decision Support and Group Support Systems

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CY - Los Alamitos, United States of America

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ER -

Poon J, Poon S, Gao J, Yin D, Chan K, Loy C et al. Studying Herb-Herb Interaction for Insomnia through the theory of Complementarities. In di Bernardo D, al E, editors, 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. 722-726 doi: 10.1109/BIBMW.2010.5703897

Studying Herb-Herb Interaction for Insomnia through the theory of Complementarities

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