Artificial-intelligence auxiliary interrogation diagnosis system

Abstract

The invention provides an artificial-intelligence auxiliary interrogation diagnosis system which comprises a corpus training module, a question classification module, a chat processing module, an automatic response module for medical commonsense questions and an interrogation diagnosis interaction module, wherein the corpus training module automatically extracts a patient's illness sign information, treatment and medicine use information and diagnosis suggestion information in historical conversations between a doctor and the patient, semantic representation is conducted according to the various types of extracted information, the information is converted into numerical vectors, training learning is conducted on the numerical vectors, and a diagnosis model which contains relations between the illness sign information existing in historical doctor-patient interactions and the doctor's diagnosis suggestions is obtained; and the question classification module judges and classifies information consulted by the patient into an online interrogation diagnosis question or a question outside the interrogation diagnosis service scope or a medical commonsense question, and the questions are answered by the interrogation diagnosis interaction module, the chat processing module and the automatic response module of the medical commonsense question respectively. The system is characterized in that by various models obtained through training, an interrogation diagnosis mechanism can be learned independently and perfected; and system universality and diagnosis accuracy are increased.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to an artificial intelligence assisted consultation system. Background technique [0002] At present, it is difficult and expensive for ordinary people to see a doctor, which is the most prominent problem in my country's medical system. Usually, when a person is sick, even if it is not a very serious disease, such as a child's cold, fever and cough, he should go to the hospital. First, it takes about an hour to come to the hospital, and then to register. Depending on the hospital department where you register, you usually have to wait for half an hour to several hours after registration to get a doctor. Sometimes you even need to wait for a day or a few days. Or not at all. But when I finally saw a doctor, it often took only a few minutes to see a doctor. So even for a common ailment, it usually takes half a day to a day, but the actual consultation ti...

AI Technical Summary

Problems solved by technology

[0010] The disadvantage and problem of this system is that it is necessary to establish a personalized consultation knowledge base for each doctor, and the consultation process is completely carried out according to the set inherent template

Whether the knowledge of consultation is purchased from a third party or constructed by oneself, it is all constructed manually, requiring a lot of manpower and material resources

The consultation process can only follow the inherent template, similar to a questionnaire survey. When the patient's condition is not in the given answer, or the patient has other diseases that are not listed in the questions, the system cannot handle it, which may cause misdiagnosis

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