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

Active Publication Date: 2020-04-10
BEIJING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, the existing methods are still unable to solve the problem of matching users' spoken language to professional terms. Therefore, it is necessary to introduce a matching module of spoken language and terminology in the diagnostic device to improve system efficiency and accuracy.

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

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Embodiment Construction

[0033] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0034] The intelligent pre-consultation robot simulates a doctor's consultation online and collects patient information in advance in the chat, which is convenient for doctors to understand the patient's situation in advance, allows patients to do relevant examinations in advance, shortens the path for patients to seek medical treatment, and reduces repetitive inquiry work for doctors ,Increase work efficiency.

[0035] The main technical difficulties are as follows:

[0036] 1. Help patients accurately describe the disease info...

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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.

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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Application Information

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IPC IPC(8): G16H50/20G16H50/70G06F16/2452G06F16/2457G06F16/28
CPCG16H50/20G16H50/70G06F16/24522G06F16/2457G06F16/284
Inventor 鄂海红宋美娜韩梦宁詹泽诚王晓晖
Owner BEIJING UNIV OF POSTS & TELECOMM
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