Drug recall method and system recommended
A drug and recommendation word technology, applied in the computer field, can solve the problem of weak recommendation and other problems
Active Publication Date: 2021-02-19
壹药网科技(上海)股份有限公司
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[0006] The purpose of this disclosure is to provide a drug recommendation recall method and its system, to solve the problem of weak pertinence of general algorithm recommendations, and to help users find the drugs they actually need as much as possible
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[0038] In the following description, many technical details are proposed for readers to better understand the present disclosure. However, those skilled in the art can understand that without these technical details and various changes and modifications based on the following implementation modes, the technical solutions claimed in the present disclosure can also be realized.
[0039] Explanation of some concepts:
[0040] Drug common name: refers to the China Approved Drug Names (abbreviation: CADN), the legal name of the drug formulated by the Pharmacopoeia Committee in accordance with the "Principles for the Naming of Common Names of Drugs" and reported to the Ministry of Health for record. It is the same ingredient or the same The generic name of the drug composed of the formula in China is mandatory and binding.
[0041] Drug trade name: refers to the specific trade name of the drug approved by the national drug regulatory department for use by a specific enterprise. Fo...
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The disclosure relates to computer technology, and discloses a drug recommendation recall method and system thereof. The method includes: the first module recalls according to the search content input by the user, and if the recall result is empty, then inquires the recommended word corresponding to the search content input by the user in the recommended word list; if the recommended word is found, the first module uses The searched recommended words are recalled; if no recommended words can be found, the second module will segment the search content entered by the user, and extract from the word segmentation results according to the priority order of the part of speech of the drug product name, drug generic name, symptom, and disease One or more words are used as the first recommended words, and recalled according to the first recommended words, if the recalled result is not empty, the second module writes the corresponding relationship between the search content input by the user and the first recommended words into the recommended word list.
Description
technical field [0001] This disclosure relates to computer technology, and in particular to recall technology from drug recommendations. Background technique [0002] Drug recommendation refers to finding suitable drugs from the existing drug database according to the search content entered by the user. [0003] Two key issues in recommendation strategies are "recall" and "ranking", respectively. "Match" refers to triggering as many correct results as possible from the full set of information, and returning the results to "sort". The "rank" refers to the unified scoring and sorting of the content of multiple recall channels, and the selection of the best small number of results. [0004] When a drug is recommended for recall, because the search content entered by the user may be irregular, the recall result may be empty (that is, no drug is matched). For this situation, the existing common approach is to make recommendations based on general recommendation algorithms (rou...
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IPC IPC(8): G06F16/335G06F16/33G06F16/338G06F40/242G06F40/289G06F40/232
CPCG06F16/3338G06F16/335G06F16/338G06F40/232G06F40/242G06F40/289
Inventor 魏书伟胡茂华王新岐
Owner 壹药网科技(上海)股份有限公司