Automatic inquiry system based on intelligent dialogue

Abstract

The invention discloses an automatic inquiry system based on an intelligent dialogue. The automatic inquiry system comprises an intelligent dialogue engine, a knowledge graph database, a knowledge inference engine and a case database, the intelligent dialogue engine is used for receiving information input by a user and extracting inquiry information from the input information through a natural language algorithm; the knowledge graph database is used for storing the medical knowledge graph in the form of a graph database; the knowledge inference engine is used for combining the inquiry information with medical knowledge in the medical knowledge graph, carrying out corresponding knowledge relationship derivation and outputting a pre-inquiry result; and the case database is used for storing cases of the user. The automatic inquiry system provided by the invention is high in pertinence, high in response speed and high in accuracy and automation degree.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to an automatic consultation system based on intelligent dialogue. Background technique [0002] With the development of artificial intelligence technology, the application of automatic consultation technology has been vigorously developed. The common implementation scheme of the existing automatic consultation technology is: according to the disease to be diagnosed, manually set up the decision tree of the question; then match the preset rules according to the answer to the question, so as to give a diagnosis suggestion. For example: Preset the questions that need to be asked during the consultation, and get different answers corresponding to each question after asking; then set different decision-making branches according to the different answers, so as to continuously advance the next question. Until all the questions are collected, the final answer i...

AI Technical Summary

Problems solved by technology

The biggest problem with this method is that it is not conducive to the expansion of a large number of diseases

When it is necessary to apply automatic consultation on a large number of diseases, a large amount of manpower is required to design the problem decision tree, the design workload is heavy, and errors are prone to occur in the process

At present, most of the recommended results realized by automatic consultation cannot be used for professional-level diagnosis of doctors due to the lack of linkage of professional knowledge

In addition, the existing products only provide online consultation advice, but lack of diagnosis by professional doctors, so it is difficult to collect effective information and obtain various data statistics between diseases and symptoms

In view of this, it is impossible to provide long-term, more granular digital assistance to doctors

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