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A Mining Model for Medicine Paring Correlation of Traditional Chinese Medicine Prescriptions

Author: YinXiaoXiong
Tutor: TangChangJie
School: Sichuan University
Course: Applied Computer Technology
Keywords: Traditional Chinese Medicine Prescriptions Paring Correlation Independence Estimate Multi-Vector Technique Clustering
CLC: TP311.13
Type: Master's thesis
Year: 2005
Downloads: 193
Quote: 3
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Abstract


Chinese Traditional Medicine (TCM) has a long history of several thousands years and is a result which Chinese people have struggled with the diseases. For many years, Chinese Traditional Medicine greatly has boosted the development of the world medicine and the prosperity of the Chinese Nation. A great deal of facts prove that Chinese Traditional Medicine Prescriptions has remarkable functions to treat all kinds of diseases and has been made sure by modern science research. We should be proud of our Chinese Traditional Medicine resources. This article piles up the immensity traditional Chinese Medicine Prescriptions in China for a long time. It is a hotspot and a difficulty problem to open out the relations between medicines and Chinese Traditional Medicine Prescriptions in the point view of modern science .The development of Data Mining techniques and the enhances of the computer performance offer us a powerful support to open out the inherence relations from a mass of Chinese Traditional Medicine Prescriptions. Based on the analyzing traditional research works, this thesis researches the composed rules of Chinese Traditional Medicine Prescriptions and the association of the medicines. The main contributions of this thesis include: 1 Investigates the effect of the medicine makeup frequency on the basis of medicine paring correlations of Traditional Chinese Medicine prescriptions and design a Independence Estimate method(IE). It not only thinks over the frame of support-count and confidence but also thinks over the transfer from associate analysis to correlation analysis. The main features includes: (a) It exactly captures the pattern which is not frequent enough but has a strong correlation relations in prescriptions DB. (b) It distinguishes the affect of the independence pattern while adding or decreasing the machine of Traditional Chinese Medicine Prescriptions in prescriptions DB. (c) Its discriminant satisfies the physics characteristic of Traditional Chinese Medicine Prescriptions. 2 Researches the match characteristics of the medicine in prescriptions DB under dose-change of TCM Prescriptions. By difference-Function measures the global trend of the medicine dose in DB, designs a Modifiable Difference-Function method(MDF) to search the accustomed value of the medicine in DB. The value is treated as a basic reference for missing dose medicine. In addition, it researches method for the outlier in DB. Adopts the covariance to measure the rule of the dose matching in prescriptions. 3 Starting from microcosmic view, it explores visual and digital TCM Prescriptions, designs a Multi-Vector Technique method(M-VT) to figure the performance of TCM Prescriptions. The kernel problem is to figure the performance of TCM Prescriptions. This paper adopts the dose value as map domain, gives performance of prescriptions, summarizes prescriptions performance, insures the reasonableness of the digital prescriptions, makes solid foundation for performance comparison, clustering, and classification of the prescriptions,

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