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A novel approach in discovering significant interactions from TCM patient prescription data |
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10.1504/IJDMB.2011.041553 |
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| Abstract |
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The efficacy of a traditional Chinese medicine medication derives from the complex interactions of herbs or Chinese Materia Medica in a formula. The aim of this paper is to propose a new approach to systematically generate combinations of interacting herbs that might lead to good outcome. Our approach was tested on a data set of prescriptions for diabetic patients to verify the effectiveness of detected combinations of herbs. This approach is able to detect effective higher orders of herb-herb interactions with statistical validation. We present an exploratory analysis of clinical records using a pattern mining approach called Interaction Rules Mining. |
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International Journal of Data Mining and Bioinformatics, 5(4), p. 353-368 |
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