Intelligent disease inquiry method, device and equipment and storage medium

Abstract

The invention discloses an intelligent disease inquiry method, device and equipment and a storage medium, and the method comprises the steps: obtaining a natural inquiry statement input by a user, andextracting symptom keywords in the natural inquiry statement; identifying an inquiry category in the natural inquiry statement according to a preset neural network classification model; when the inquiry category is triage inquiry, inputting the symptom keyword into a preset triage model, and obtaining a triage department which is output by the triage model and corresponds to the symptom keyword;and when the inquiry category is symptom inquiry, inputting the disease keyword into a preset symptom question and answer model, and obtaining a disease entity which is output by the disease questionand answer model and corresponds to the disease keyword. According to the method, the triage precision can be improved, the diagnosis time wasted by a doctor due to the fact that the doctor hangs thedepartment number by mistake is saved, the hospitalizing efficiency is optimized, meanwhile, the patient can conduct disease inquiry to have more understanding on own diseases or symptoms, and the user experience is greatly improved.

Description

technical field [0001] The invention relates to the field of classification models, in particular to an intelligent disease inquiry method, device, equipment and storage medium. Background technique [0002] At present, with the development and refinement of the medical system, when users see a doctor in a hospital, they need to be triaged first. In the existing technology, when performing triage, the user first needs to complain about their own disease symptoms, and then triage The doctor then understands the symptoms of the disease, and thereafter, triages according to his understanding. The disadvantage of this solution is: since the triage doctor may only be a specialist in one department, the knowledge of medical knowledge is limited, and the triage doctor may not understand the symptoms of the disease complained by the user, which is likely to cause The deviation of the triage department, and then the user needs to make a new registration appointment, etc., which wast...

AI Technical Summary

Problems solved by technology

The disadvantage of this solution is: since the triage doctor may only be a specialist in one department, the knowledge of medical knowledge is limited, and the triage doctor may not understand the symptoms of the disease complained by the user, which is likely to cause The deviation of the triage department, and then the user needs to re-register and make an appointment, etc., which wastes the user's time for seeing a doctor and greatly affects the user experience

At the same time, users may want to know about their symptoms and serious conditions before seeing a doctor, so as to learn more about their own diseases or symptoms before seeing a doctor. However, if the user asks about the disease at the triage doctor cause or other relevant information, the triage doctor obviously cannot answer the user as he is not a specialist in the disease

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