Auxiliary intelligent inquiry system based on deep reinforcement learning

A reinforcement learning, intelligent technology, applied in neural learning methods, medical automatic diagnosis, computer-aided medical procedures, etc., can solve problems such as lack of guidance and support, shallowness, and low level of primary medical institutions

Pending Publication Date: 2021-10-01
广州中康健数智能科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, because most ordinary people have a relatively shallow understanding of medical knowledge, the phenomenon of seeking medical treatment indiscriminately occurs, resulting in a waste of time and medical resources to a certain extent.
These phenomena reflect two problems. The first is the demand side. With the improvement of residents’ living standards and income levels,

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Auxiliary intelligent inquiry system based on deep reinforcement learning
  • Auxiliary intelligent inquiry system based on deep reinforcement learning
  • Auxiliary intelligent inquiry system based on deep reinforcement learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] The present invention will be further described below. It should be noted that this embodiment is based on the technical solution and provides detailed implementation and specific operation process, but the protection scope of the present invention is not limited to this embodiment.

[0053] This embodiment provides an assisted intelligent interrogation system based on deep reinforcement learning, including a knowledge map and a model;

[0054] Knowledge map: The knowledge map is a data structure used to organize knowledge in the medical field, and the specific form is a directed graph, which consists of multiple facts, where each fact consists of a head entity node, a tail entity node, and a head entity Node-to-tail entity nodes are composed of relationships, which can also be called triples. There are multiple entities in the knowledge graph, which are divided into several types. On the other hand, there are multiple relationships in the knowledge graph, all of which...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an auxiliary intelligent inquiry system based on deep reinforcement learning. Various advantages of a knowledge graph, deep learning and reinforcement learning are integrated to solve important problems in a current real scene. Knowledge accumulation is completed by utilizing the ability of organizing knowledge by a knowledge graph, then the knowledge is mapped to a vector space by using an embedded representation mode, so that the knowledge can be combined with a deep learning technology, and meanwhile, the ability of reinforcement learning for solving a complex problem of an actual scene is utilized.

Description

technical field [0001] The invention relates to the technical field of intelligent interrogation, in particular to an auxiliary intelligent interrogation system based on deep reinforcement learning. Background technique [0002] In recent years, my country's medical resources have reached a state of short supply, especially the high-level doctors in the top three hospitals in big cities have to face the current situation of a large number of patients who come to see a doctor every day, but a large part of them do not need to go to big hospitals for treatment . In addition, due to the relatively shallow understanding of medical knowledge of most ordinary people, the phenomenon of seeking medical treatment indiscriminately occurs, resulting in a waste of time and medical resources to a certain extent. These phenomena reflect two problems. The first is the demand side. With the improvement of residents’ living standards and income levels, residents’ willingness to consume medic...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G16H50/20G06F16/36G06N3/04G06N3/08
CPCG16H50/20G06F16/367G06N3/04G06N3/084
Inventor 唐珂轲黄毅宁陈美莲
Owner 广州中康健数智能科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap