Traditional Chinese medicine classic famous prescription intelligent recommendation method based on knowledge graph technology

Abstract

The invention belongs to the technical field of intelligent recommendation, and discloses a knowledge graph technology-based traditional Chinese medicine classic famous prescription intelligent recommendation method, which comprises the steps that a data acquisition module acquires data of a traditional Chinese medicine prescription; meanwhile, personal basic information, various physiological data, symptoms and disease information of the patient are obtained, and a data preprocessing module conducts cleaning and formatting processing on the collected traditional Chinese medicine formula data; a knowledge graph construction module performs knowledge graph construction based on the processed data; a storage module respectively stores the acquired data, the processed data and the constructed knowledge graph by using a distributed database; a recommendation model construction module performs traditional Chinese medicine classic famous prescription recommendation based on the acquired patient related information by constructing a traditional Chinese medicine classic famous prescription recommendation model based on the knowledge graph; a result display module outputs the recommended traditional Chinese medicine classic famous prescription. According to the invention, intelligent traditional Chinese medicine famous prescription recommendation is realized, and the recommended famous prescriptions can meet personalized differences of patients, so that the purposes of fitting illness conditions and improving curative effects are achieved.

Description

Technical field[0001]The present invention belongs to the intelligent recommendation technology, and in particular, the present invention relates to a method of intelligent recommendation for Chinese medicine classic celebrities based on knowledge map technology.Background technique[0002]At present: When patients go to the hospital, Chinese medicine practitioners have been diagnosed by the patient's condition through the means, smell, ask, and cut, etc., and issued a Chinese medicine prescription for the user according to the diagnosis.[0003]When the physician is in order to issue a Chinese medicine prescription, the physician usually needs to flush the Chinese medicine, and the Chinese medicine is written for the prescription. After finding the drug, according to the patient's personal situation, the various medicines in the adjusted prescription, artificial writing or entry, make the existing The standardization of Chinese medicine prescription is low, which is not conducive to th...

AI Technical Summary

Problems solved by technology

[0003] When prescribing Chinese medicine prescriptions, doctors usually need to look up traditional Chinese medicine and traditional Chinese medicine classics to search for prescriptions. After finding the prescriptions, they adjust the prescriptions according to the individual conditions of the patients, and manually write or enter the various medicines in the adjusted prescriptions. The standardization of traditional Chinese medicine prescriptions is low, which is not conducive to the promotion of traditional Chinese medicine technology

Moreover, it takes a lot of time for doctors to prescribe medicines, and the efficiency of prescriptions is low.

[0004] Through the above analysis, the problems and defects of the existing technology are: the standardization degree of the existing traditional Chinese medicine prescriptions is low, which is not conducive to the promotion of Chinese medicine technology, and the existing methods of obtaining prescriptions are time-consuming and the efficiency of prescriptions is low.

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