Intelligent inquiry method and device, storage medium and electronic equipment

Abstract

The invention relates to an intelligent inquiry method and device, and belongs to the technical field of data processing. The method comprises the steps of detecting initial symptoms provided by a patient and determining and inquiring whether or not the patient has a first relevant symptom according to a Bayesian network; when it is detected that the patient has the first relevant symptom and it is judged that the diagnosis probability of a first candidate disease reaches a first threshold value, determining the first candidate disease as a diagnosis disease and making a feedback; when it is judged that the diagnosis probability of the first candidate disease does not reach the first threshold value, determining and inquiring whether or not the patient has a second relevant symptom of thefirst candidate disease according to the Bayesian network; when it is detected that the patient has the second relevant symptom and it is judged that the diagnosis probability of the first candidate disease reaches a second threshold value, determining the first candidate disease as a diagnosis disease and making a feedback. According to the intelligent inquiry method and device, on one hand, thecorresponding relationship between the disease and the diagnose is more comprehensive and flexible, and thus the diagnose result is more accurate; on the other hand, the interactive experience and effect of a user are optimized.

Description

technical field [0001] The present disclosure relates to the technical field of data processing, and in particular, relates to an intelligent consultation method, an intelligent consultation device, a computer-readable storage medium, and electronic equipment. Background technique [0002] At present, with the development of science and technology, smart technology has begun to permeate into daily life. In the medical field, intelligent consultation can provide consultation services through machine simulation, predict the patient's condition through the symptoms input by the user, and conduct appropriate analysis based on the patient's condition to make a quick and effective diagnosis. At present, there are two core technical points of intelligent consultation: one is the medical knowledge base, which can effectively organize the existing medical information and quickly judge the patient's condition; the other is the semantic interaction engine, which can understand the user...

AI Technical Summary

Problems solved by technology

[0004] However, the above-mentioned medical rule-based method needs to rely on a large amount of manual input, and the rules are fixed, so it is difficult to be compatible with the special situation of the patient; while the learning and search based on dialogue data, due to the limitation of the problem set, it is difficult to cover all diseases, and can only Limited to the judgment of a single question, it is difficult to complete the judgment after multiple rounds of interaction

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