Traditional Chinese medicine medical case naming identification method and system based on multi-feature template correction

A recognition method and multi-feature technology, applied in medical informatics, medical data mining, special data processing applications, etc., can solve the problems of high dependence and reduced recognition ability, and achieve the effect of improving recall rate and F-measure.

Pending Publication Date: 2018-09-18
山东管理学院
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The disadvantage of the method based on rules and dictionaries is that it relies heavily on dict

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  • Traditional Chinese medicine medical case naming identification method and system based on multi-feature template correction
  • Traditional Chinese medicine medical case naming identification method and system based on multi-feature template correction
  • Traditional Chinese medicine medical case naming identification method and system based on multi-feature template correction

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[0065] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0066] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0067] TCM medical records are the records of diagnosis and treatment activities of TCM experts, and the named e...

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Abstract

The invention discloses a traditional Chinese medicine medical case naming identification method and system based on multi-feature template correction. The method comprises the following steps that: carrying out sentence extraction on a traditional Chinese medicine medical case text; classifying extracted sentences; carrying out word segmentation processing on each category of sentences; carryingout character feature, part of speech feature, left demonstrative word feature, right demonstrative word feature and term feature annotation on each word obtained by word segmentation in sequence; constructing training corpora; formulating a feature template; independently inputting the obtained corpora and the feature template into a conditional random field model, and training the conditional random field model to obtain the trained conditional random field model; constructing corpora to be predicted for a traditional Chinese medicine medical case to be predicted; taking constructed identification corpora as an input, inputting into the trained conditional random field model, and outputting a traditional Chinese medicine medical case category and a character position; and finally, according to the traditional Chinese medicine medical case category and the character position, identifying the four diagnostic methods, the pattern of syndrome and the therapeutic method of the traditionalChinese medicine.

Description

technical field [0001] The invention relates to a naming recognition method and system for traditional Chinese medicine medical records based on multi-feature template correction. Background technique [0002] The key step in the informatization of TCM medical record texts is to be able to recognize the named entities of massive TCM medical record texts, and to establish the correlation between TCM text information, syndrome type text information, and treatment method text information. Scientifically demonstrate the idea of ​​"treatment based on syndrome differentiation". Named entity recognition has been widely used in many fields, such as: financial field, product recognition, Weibo text, military text, etc. [0003] Named entity recognition analysis methods can be roughly divided into two categories: [0004] The first category is rule-based and dictionary-based methods and machine learning-based methods. The disadvantage of the method based on rules and dictionaries i...

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Application Information

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IPC IPC(8): G06F17/27G16H50/70
CPCG16H50/70G06F40/295
Inventor 袁锋陈阳陈守强赵丽丽梁科
Owner 山东管理学院
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