Medical resource recommendation method and system, computing equipment and storage medium

Abstract

The invention discloses a medical resource recommendation method and system, computing equipment and a storage medium. The method comprises the steps of obtaining historical user medical record data and other data; constructing a medical recommendation sample set; training to obtain a medical resource recommendation model according to the available medical resource data and the medical recommendation sample set; and determining corresponding to-be-recommended medical resource data for the current user by utilizing the medical resource recommendation model. According to the scheme, a medical resource recommendation model is obtained based on historical medical data training; medical resources conforming to illness conditions are accurately matched for later or current users; medical resources such as doctors and hospitals are recommended to the user according to the actual illness condition of the user; the user can find the corresponding hospitals and doctors as soon as possible, the user is helped to match the appropriate medical resources in a short time, the medical time is saved, the user can find the appropriate hospitals and doctors conveniently, and the problem of information asymmetry between the medical resources and patients is solved.

Description

technical field [0001] The present invention relates to the technical field of medical resource recommendation, in particular to a medical resource recommendation method, system, computing device and storage medium. Background technique [0002] Medicine is a knowledge-driven discipline. As long as enough and reliable knowledge is collected from multiple dimensions, it can play a huge role in assisting decision-making, liberating medical personnel from complicated and repetitive labor, and then doing more. What a creative thing to do. At present, the medical systems of various countries are relatively complete, but there is still a lot of room for improvement. Usually, the existing medical knowledge base is composed of knowledge items, and the content of these knowledge items is usually relatively limited, which seriously affects the accuracy of the search results. For patients, it is very important to choose the right hospital and doctor. However, on the one hand, due to t...

AI Technical Summary

Problems solved by technology

At present, the medical systems of various countries are relatively complete, but there is still a lot of room for improvement. Usually, the existing medical knowledge base is composed of knowledge items. These knowledge items are usually relatively limited in content, which seriously affects the accuracy of search results.

For patients, it is very important to choose the right hospital and doctor. However, on the one hand, due to the limitation of medical knowledge, most patients cannot correctly evaluate their own symptoms. It is also difficult to find hospitals and doctors who are good at their own conditions without medical expertise, which reduces medical efficiency and wastes medical resources; Unbalanced and lack of resources, resulting in difficulty in seeking medical treatment, etc.

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