Realization method and system for electronic medical record post-structuring and auxiliary diagnosis

An electronic medical record, auxiliary diagnosis technology, applied in the direction of electronic digital data processing, special data processing applications, instruments, etc., can solve problems such as lack of unified standards, unfavorable data analysis, data exchange, data integration and data analysis obstacles, etc.

Inactive Publication Date: 2017-02-08
刘勇
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The many shortcomings of structured electronic medical records lead to the unsmooth development of domestic electronic medical records, so many hospitals still use the electronic medical record system with free text input. Such electronic medical records are just a transcription process from paper dat

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  • Realization method and system for electronic medical record post-structuring and auxiliary diagnosis
  • Realization method and system for electronic medical record post-structuring and auxiliary diagnosis
  • Realization method and system for electronic medical record post-structuring and auxiliary diagnosis

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Embodiment Construction

[0077]The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0078] The following description and drawings illustrate specific embodiments of the invention sufficiently to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely represent possible variations. Individual components and functions are optional unless explicitly required, and the order of operations may vary. Portions and features of some embodiments may be included in or substituted for those of other embodiments. The scope of embodiments of the present invention includes the full scope of the claims, and all available equivalents of the claims. These embodiments of the present invention may be referred to herein, individually or collectively, by the term "invention", which is for convenience only and is not ...

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Abstract

The invention relates to a realization method and system for electronic medical record post-structuring and auxiliary diagnosis. A combination mode of multiple types of distance measurement is used: a character string editing distance refers to a minimum number of replacement, insertion and deletion operations required for converting a character into another character string; a Jaro-Winkler distance measures similarity between two character strings and is used for repeated recording detection; a geometric mean value of a Chinese character distance and a Chinese character input method is adopted as comprehensive similarity measurement for measuring similarity between characteristic texts; characteristic ranking is realized by using a TF-IDF method and is used for assessing the importance of characteristic terms relative to documents in a file set or a corpus library, and the importance of the characteristic terms is in direct proportion to an occurrence frequency in the documents and is in inverse proportion to an occurrence document in the corpus library; and files are converted to be in a file format of PU learning of a positive example data set and an unlabelled data set according to the generated characteristic terms, and through the PU learning, the system automatically recommends related diagnoses for clinical medical personnel to refer.

Description

technical field [0001] The invention relates to an electronic medical record structure system and its realization method, in particular to a realization method and system of the post-structuralization and auxiliary diagnosis of the electronic medical record. Background technique [0002] Traditional electronic medical records are recorded in the form of text descriptions. Although the structure of medical records has certain standards as a basis, due to the complexity of related medical clinical fields, there are different contents in each field. Even if the same content, the corresponding The description methods are also different, so it is difficult to generate a structured electronic medical record: one way is to extract structured content from ordinary text descriptions through natural language processing (Natural Language Processing, NLP). Another solution is to realize the structuring of medical record information through structured entry. The fully structured electron...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F19/00
CPCG06F16/258
Inventor 刘勇琚生根王俊峰苏翀
Owner 刘勇
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