Method and system for realizing intelligent search and consultation in the medical industry by customizing hot words

Abstract

The invention discloses a method and a system for realizing intelligent search consultation of a medical industry by self-defining hot words. The method comprises the steps of obtaining query information input by a user; performing matching query on a whole character string of the query information and a preset question sample database; judging whether successfully matched question and answer records exist or not, and if yes, integrating the successfully matched question and answer records into a long character string according to a preset format, outputting the long character string as a query result and ending the process, or otherwise, performing secondary matching query on the query information and a preset hot word sample database; for the condition that query results of the secondarymatching query exist, sorting the query results according to a preset priority level, and generating reply lists; and according to sorting of the reply lists, displaying the query results to the user. The targeted search consultation can be realized; the search accuracy is improved; the calculation amount of search can be reduced; the search efficiency can be improved; and the method and the system can be widely applied to the field of medical information processing.

Description

technical field [0001] The invention relates to the field of information retrieval processing, in particular to a method and system for realizing intelligent search and consultation in the medical industry by customizing hot words. Background technique [0002] At present, with the popularization of the Internet and the rapid development of data processing technology, users' search and query of information has become an important direction of network data application. At present, the search and query method for information is mainly to extract keywords from the user's query request and match them with the database through keyword matching, and then sort and display the query results according to the degree of matching. However, in the field of the medical industry, its data is particularly targeted, and this simple sorting method is difficult to meet the targeted query needs of medical information. Even if it is sorted according to the degree of relevance, it may not match w...

AI Technical Summary

Problems solved by technology

However, in the field of the medical industry, its data is particularly targeted, and this simple sorting method is difficult to meet the targeted query needs of medical information. Even if it is sorted according to the degree of relevance, it may not match what the user actually queried. Content, in this way, the accuracy is low, and, due to the inaccuracy of the search results, it cannot meet the search query requirements, users can only obtain the search query results through telephone consultation, manual consultation, etc., which is inefficient and difficult to meet the application requirements.

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