Multi-doctor recommendation method and device and online consultation system

Abstract

The invention provides a multi-doctor recommendation method and device and an online consultation system. The method comprises the steps that target user question information and a candidate doctor list corresponding to the target user question information are acquired, wherein the candidate doctor list contains multiple pieces of doctor information; the target user question information is combined with all pieces of doctor information to form multiple prediction samples; a preset prediction model is input to each prediction sample, and multiple pieces of target doctor information which are used for being recommended to a target user are selected according to all output of the prediction models. According to the method, multiple doctors whit high matching degree and high professional performance can be effectively and accurately recommended to the user so that the user can obtain more accurate and high-matching-degree disease symptom introductions, treatment suggestions and other information.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a multi-doctor recommendation method and device, and an online consultation system. Background technique [0002] With the development of science and technology, people's consultation methods for disease symptoms and treatment are no longer limited to entering the hospital for online medical treatment, but can also obtain suggestions for their disease symptoms and treatment methods through the Internet. Especially for the sick people who are located in remote areas, and the people who have been diagnosed in a certain hospital but still want to obtain the second advice for the sick patient, it is obviously a more convenient and efficient way to obtain professional advice from doctors through the Internet. Consultation method. [0003] In the prior art, when a user conducts an online consultation, he usually needs to post a question and wait for the doctor's ...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, when a user conducts an online consultation, he usually needs to post the question and wait for the doctor's answer. However, the user cannot know whether the doctor who answered the question is an expert in the field corresponding to the disease or symptom he proposed. Even if the user has prior knowledge of the experts in the field corresponding to the diseases or symptoms he proposes, there is no way to obtain answers from the experts in the field. Therefore, users in the prior art are always in a passive state when conducting online consultations. And it is impossible to get a second recommendation from a doctor with a high degree of matching and professionalism

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