Disease name standardization specification method and specification system
A technology that regulates systems and diseases, applied in the field of medical informatization, can solve problems such as access-only, complicated results, user information overload, etc., to achieve accurate query and improve efficiency
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Embodiment 1
[0077] When the present invention handles external API (Application Programming Interface, application programming interface), concrete process is as follows:
[0078] S11: Obtain the keyword input by the user, and process the special symbols and spaces in the keyword to generate the keyword;
[0079] S12: Correct the processed keywords, and correct typos into correct spellings, for example, modify keywood into keyword;
[0080] S13: Segment the corrected keywords, use the maximum word segmentation, and associate the synonyms with synonyms, and generate a synonym family for the associated synonyms. After the keywords are segmented, multiple word segmentation sets are obtained, marked as keyword1, keywork2. ..keywordN;
[0081] S14: After the word is divided, traverse the word segmentation set, search in the disease name standardization specification database, if a standardized name is found, return to the result output module, and the word segmentation results are marked as r...
Embodiment 2
[0085] Input DMⅡ into the name query module, and the name correction module unifies the format of DMⅡ into a standard format, such as a half-width format without spaces, and the name matching module combines the standard format of DMⅡ with the colloquial names of diseases pre-stored in the disease name standardization database, such as in each single Match in the disease sub-database, find the colloquial disease name DMⅡ that matches the disease name query element DMⅡ in the single disease sub-database including diabetes type II, NDM, DMⅡ and other disease colloquial names and standardized names E71.000, name extraction The module extracts the standardized name E71.000 and sends it to the terminal.
[0086] Therefore, in the method of the present invention, real-time disease diagnosis information is obtained; the application layer uses Redis as the application layer data set cache, and then performs word segmentation processing based on the maximum forward matching algorithm, a...
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