Registration department matching method and device

Abstract

The invention provides a registration department matching method and device. The registration department matching method comprises the steps: generating a training sample set according to a pluralityof hospital departments and a plurality of standard departments, wherein the training sample set comprises a positive sample set and a negative sample set; obtaining a plurality of word vector characteristics according to the inquiry corpus and the patient corpus; inputting the training sample set and the plurality of word vector characteristics into a pre-trained matching model, and obtaining candidate standard departments correspondingly matched with each courtyard department and similarity; and generating a mapping relation between each hospital department and the standard department according to the candidate standard department correspondingly matched with each hospital department, the similarity and a preset confidence interval. Therefore, automatic matching of the standard department and the hospital department is achieved, and the accuracy rate and the coverage rate of matching of the standard department to the hospital department are guaranteed, and it is convenient to position the hospital department for registration service for the user.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a matching method and device for registered departments. Background technique [0002] In recent years, artificial intelligence technology has received more and more attention. As its sub-fields, methods such as machine learning and deep learning have also been applied to various industries, not only in theoretical research, but many companies use this The first method is applied in actual business scenarios, combined with related technologies, such as image detection, natural language processing, pattern recognition, etc., to develop into actual landing products, especially now that many Internet companies are committed to the field of AI medical care, and have developed intelligent consultation , intelligent sub-diagnosis and other products in the Internet medical field. For the intelligent sub-diagnosis, according to the patient's chief complaint, simulate the ...

AI Technical Summary

Problems solved by technology

[0003] With the expansion of the product scale, more and more hospitals will join the cooperation, and the standard department of the benchmark version also needs to be continuously expanded. If there are more than 100 departments in the benchmark version and dozens of departments in the hospital, if the manual There will be thousands of comparisons in the way of matching, which consumes a lot of manpower and is difficult to achieve

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