Detection method for automatic identification of syndrome types in traditional Chinese medicine

A technology for automatic identification and detection methods, applied in special data processing applications, instruments, electrical digital data processing, etc.

Inactive Publication Date: 2011-12-28
SHANGHAI UNIV OF T C M +1
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is based on the ES-ID3 algorithm of the decision tree, and proposes a detection method for automa

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  • Detection method for automatic identification of syndrome types in traditional Chinese medicine
  • Detection method for automatic identification of syndrome types in traditional Chinese medicine
  • Detection method for automatic identification of syndrome types in traditional Chinese medicine

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Embodiment Construction

[0052] The present invention will be further elaborated below in conjunction with the accompanying drawings and specific embodiments. These examples should be understood as only for illustrating the present invention but not for limiting the protection scope of the present invention. After reading the contents of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent changes and modifications also fall within the scope defined by the claims of the present invention.

[0053] Such as figure 1As shown, the TCM intelligent decision-making system based on the ES-ID3 algorithm provided by a preferred embodiment of the present invention includes: a TCM four-diagnosis information preprocessing module, a CFS attribute screening module, an ES-ID3 syndrome differentiation module and a rule storage module. The connection relationship is: the information preprocessing module of the four diagnosis of traditi...

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Abstract

The invention discloses a detection method for automatically identifying syndrome types of traditional Chinese medicine, which comprises the following steps: establishing a standard and objective database of TCM cases; aiming at the standardized TCM sample database, using an attribute screening method based on association relations to calculate the mutual relationship between each attribute Information and symmetric uncertainty, based on heuristic rules, select the symptom attribute set that contributes more to syndrome detection; use the selected key attribute set and sample information in the case database to construct a classification training sample set, and calculate the attribute information gain rate, determine the decision-making attributes, control the sample lower limit of each node and record the classification error at the same time, read all training samples and quasi-training samples in the way of incremental learning, and finally obtain the classification rules; use the obtained classification rules to carry out new Sample identification test. The invention can not only be applied to the problem of automatic syndrome differentiation of liver cirrhosis, but also can be extended to the field of automatic discrimination of other syndrome types in traditional Chinese medicine.

Description

technical field [0001] The invention relates to an automatic identification method of TCM syndrome types, in particular to a detection method for common TCM syndromes of liver cirrhosis. Background technique [0002] Liver cirrhosis seriously affects people's health, and its main cause is hepatitis virus infection, especially hepatitis B virus infection. Therefore, it is of great practical value to explore the clinical characteristics of hepatitis B virus infection-induced liver cirrhosis. But so far Western medicine has no effective treatment for some common liver diseases, such as hepatic fibrosis and cirrhosis of chronic liver disease, while traditional Chinese medicine has considerable advantages. For more than 20 years, traditional Chinese medicine has played an important role in the prevention and treatment of liver diseases, and has achieved some scientific research achievements that have attracted the attention of the international hepatology community. Syndrome res...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 马利庄褚娜廖晓威周忞
Owner SHANGHAI UNIV OF T C M
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