Intelligent inquiring diagnosis system and method

Abstract

The invention provides an intelligent inquiring diagnosis system and method. The system comprises a structured medical knowledge storage unit configured for storing structured medical knowledge information with a plurality of entity tags, a policy generation unit configured for mining the structured medical knowledge information to generate a filtering policy, a retrieval unit configured for receiving medical consulting information or feedback information and retrieving the structured medical knowledge information with the entity tags corresponding to the medical consulting information or the feedback information, and a filtering unit configured for filtering retrieval results according to the filtering policy, judging a filtering result according to a preset rule to select operation of generating and outputting a problem according to the filtering result to prompt a user to input the feedback information or operation of generating and outputting inquiring diagnosis result information according to the filtering result. According to an inquiring diagnosis mechanism provided by the invention, an inquiring diagnosis path is dynamically generated for each inquiring diagnosis, and the path and result generation is evidence-based, so that the accuracy and deepness of an inquiring diagnosis result are guaranteed.

Description

technical field [0001] This application relates to the field of medical information technology, in particular to an intelligent consultation system and method. Background technique [0002] At present, when users obtain various medical information on the Internet, such as diseases, symptoms and other information, the commonly used method is to search in traditional search engines. search result. This traditional information retrieval method is difficult to guarantee the relevance and in-depthness of the retrieval results for the medical field, which has a strong long-tail demand. Users often get a lot of low-correlation feedback results, which makes users have to pay a lot of time and energy for reading comprehension and information filtering when using traditional methods to retrieve medical information. [0003] The defect of the existing intelligent consultation solution is that the consultation path is fixedly set according to manual experience, and the dynamic consult...

AI Technical Summary

Problems solved by technology

[0003] The defect of the existing intelligent consultation solution is that the consultation path is fixedly set according to manual experience, and the dynamic consultation path cannot be intelligently generated for different situations of consultation, and the setting of each question in the consultation path depends on the initial setting problem Due to the manual experience at the time, it is impossible to know the basis, resulting in no evidence for the consultation path and results, and it is difficult to guarantee the accuracy of the retrieval results. In addition, the retrieval results will always depend on the manual experience when the question was initially set. When the manual experience is out of date , When there is a new and better theoretical basis, it is impossible to obtain better consultation results based on a better theoretical basis

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