Pre-inquiry method and device for ophthalmology department based on deep learning

A deep learning and consultation technology, applied in the information field, can solve problems such as user spoken language and professional term matching, and achieve the effects of efficient generalization, improved diagnostic efficiency, and improved efficiency and accuracy
CN110993093AActive Publication Date: 2020-04-10BEIJING UNIV OF POSTS & TELECOMM
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
BEIJING UNIV OF POSTS & TELECOMM
Publication Date
2020-04-10

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Abstract

The invention discloses a pre-inquiry method and device for the ophthalmology department based on deep learning, and the device comprises a basic data module which stores basic data; an algorithm engine module which is used for processing the corresponding dialogue process requirements by adopting a natural language based on deep learning so as to generate SQL statements according to the natural language; a dialogue process module which is used for obtaining inquiry information of the user according to the SQL statement and outputting a corresponding ophthalmology pre-inquiry result; and a platform capability module which is used for obtaining an ophthalmology pre-inquiry result according to the inquiry information and the basic data and sending the ophthalmology pre-inquiry result to thedialogue process module. The device can improve the efficiency and accuracy of patient information collection before treatment, achieves the intelligent collection of patient information before treatment, and improves the diagnosis efficiency of doctors in the later period.
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Description

technical field

[0001] The present invention relates to the field of information technology, in particular to a deep learning-based ophthalmology pre-interrogation method and device. Background technique

[0002] In the era of the integration of artificial intelligence and the Internet, optimizing the consultation process and improving the efficiency of medical treatment is a necessary way to solve the current slow and difficult medical treatment and the tense relationship between doctors and patients. Among the existing optimization methods, pre-diagnosis is currently the cheapest and most effective.

[0003] For example, a method and system for establishing an intelligent medical inquiry form summarizes the meta-model of the meta-model for diabetes. The characteristics of diagnosis information; the metamodel of the consultation includes primary key, name, type and version information. The metamodel of consultation is a type that can be recursively nested, and subsequent c...

Claims

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