Author(s) |
Zhou, Xuezhong
Poon, Josiah
Kwan, Paul H
Zhang, Runshun
Wang, Yinhui
Poon, Simon
Liu, Baoyan
Sze, Daniel
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Publication Date |
2010
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Abstract |
In this paper, we aim to investigate strong herb-herb interactions in TCM for effective treatment of insomnia. Given that extraction of herb interactions is quite similar to gene epistasis study due to non-linear interactions among their study factors, we propose to apply Multifactor Dimensionality Reduction (MDR) that has shown useful in discovering hidden interaction patterns in biomedical domains. However, MDR suffers from high computational overhead incurred in its exhaustive enumeration of factors combinations in its processing. To address this drawback, we introduce a two-stage analytical approach which first uses hierarchical core sub-network analysis to pre-select the subset of herbs that have high probability in participating in herb-herb interactions, which is followed by applying MDR to detect strong attribute interactions in the pre-selected subset. Experimental evaluation confirms that this approach is able to detect effective high order herb-herb interaction models in high dimensional TCM insomnia dataset that also has high predictive accuracies.
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Citation |
Medical Biometrics: Proceedings of the Second International Conference, ICMB 2010, p. 258-267
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ISBN |
9783642139239
9783642139222
3642139221
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Link | |
Publisher |
Springer
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Series |
Lecture Notes in Computer Science
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Edition |
1
|
Title |
Novel Two-Stage Analytic Approach in Extraction of Strong Herb-Herb Interactions in TCM Clinical Treatment of Insomnia
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Type of document |
Conference Publication
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Entity Type |
Publication
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Name | Size | format | Description | Link |
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closed/SOURCE01.pdf | 469.323 KB | application/pdf | Publisher version | View document |
administrative/MODS.xml | 5.797 KB | MODS.xml | View document | |
closed/SOURCE02.pdf | 209.344 KB | application/pdf | hidden | View document |