Studying herb-herb interaction for insomnia through the theory of complementarities

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

doi:10.1109/BIBMW.2010.5703897

Studying herb-herb interaction for insomnia through the theory of complementarities

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

NICM Health Research Institute

Research output: Chapter in Book / Conference Paper › Conference Paper › 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 2010, 18-21 December 2010, Hong, Kong
Publisher	IEEE
Pages	722-726
Number of pages	5
ISBN (Print)	9781424483020
DOIs	https://doi.org/10.1109/BIBMW.2010.5703897
Publication status	Published - 2010
Event	IEEE International Conference on Bioinformatics and Biomedicine Workshops - Duration: 18 Dec 2010 → …

Conference

Conference	IEEE International Conference on Bioinformatics and Biomedicine Workshops
Period	18/12/10 → …

Keywords

complementarities
herbs
insomnia
interactions
super-modular function

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10.1109/BIBMW.2010.5703897

Cite this

Poon, J., Poon, S., Yin, D., Chan, K., Loy, C., Zhou, X., Zhang, R., Liu, B., Kwan, P., Sze, D., & Gao, J. (2010). Studying herb-herb interaction for insomnia through the theory of complementarities. In Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010, 18-21 December 2010, Hong, Kong (pp. 722-726). IEEE. https://doi.org/10.1109/BIBMW.2010.5703897

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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.",

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

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booktitle = "Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010, 18-21 December 2010, Hong, Kong",

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Poon, J, Poon, S, Yin, D, Chan, K, Loy, C, Zhou, X, Zhang, R, Liu, B, Kwan, P, Sze, D & Gao, J 2010, Studying herb-herb interaction for insomnia through the theory of complementarities. in Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010, 18-21 December 2010, Hong, Kong. IEEE, pp. 722-726, IEEE International Conference on Bioinformatics and Biomedicine Workshops, 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; Yin, Dawei et al.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010, 18-21 December 2010, Hong, Kong. IEEE, 2010. p. 722-726.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

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AU - Poon, Simon

AU - Yin, Dawei

AU - Chan, Kelvin

AU - Loy, Clement

AU - Zhou, Xuezhong

AU - Zhang, Runshun

AU - Liu, Baoyan

AU - Kwan, Paul

AU - Sze, Daniel

AU - Gao, Junbin

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N2 - 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.

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ER -

Studying herb-herb interaction for insomnia through the theory of complementarities

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