Doctor online recommendation method and system

Abstract

The invention discloses a doctor online recommendation method and system. The method comprises the steps: obtaining basic attribute information and an illness state chief complaint text of a patient to whom a doctor is to be recommended; performing vectorization representation on the basic attributes and the illness state chief complaint text of the patient; obtaining a preliminarily recommended department according to vectorization representation of the illness state chief complaint text; extracting disease symptom entity words of the patient from a disease symptom entity word database according to the features of the disease condition chief complaint text of the patient; matching the disease symptom entity words of the patient with the skilled diagnosis disease description of each doctorof the preliminarily recommended department, and screening out matched doctors of a first type; according to the similarity between the vectorization representation of the basic attributes of the patient and the illness state chief complaint text and the vectorization representation of the basic attributes of the patient and the illness state chief complaint text and and historical patient scoresof each doctor in the first type of doctors, calculating a final recommendation score of each doctor; and outputting the information of the doctors with the highest score.

Description

technical field [0001] The present disclosure relates to the field of medical technology, in particular to an online doctor recommendation method and system. Background technique [0002] The statements in this section merely mention background art related to the present disclosure and do not necessarily constitute prior art. [0003] With the rapid development of the medical industry, the phenomenon of medical information overload is becoming more and more serious. At the same time, people's quality requirements for medical treatment are also constantly improving, and the hospital's medical resources, especially professional departments and doctor information, are highly specialized. For ordinary patients who do not have professional medical knowledge, they often When facing a huge number of doctors' departments to retrieve information, it is impossible to make a quick and appropriate choice according to one's own condition. On the one hand, this increases the workload of...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the deficiencies in the prior art, the present disclosure provides a doctor online recommendation method and system; it aims to overcome the problems of medical information overload in the medical guidance system, difficult selection of patients and uneven distribution of hospital resources, and can quickly and accurately provide medical advice to patients. of online recommended doctors

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