Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Financial medical insurance fraud early warning method and device based on relational graph, and terminal

A medical insurance and relationship graph technology, applied in the field of graph computing, can solve problems such as no description or report found, and data not yet collected, and achieve the effect of flexible fraud detection

Pending Publication Date: 2020-02-21
SHANGHAI JIAO TONG UNIV
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, there is no description or report of the similar technology of the present invention, and no similar data at home and abroad have been collected yet.

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
  • Financial medical insurance fraud early warning method and device based on relational graph, and terminal
  • Financial medical insurance fraud early warning method and device based on relational graph, and terminal
  • Financial medical insurance fraud early warning method and device based on relational graph, and terminal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] The following is a detailed description of the embodiments of the present invention: this embodiment is implemented on the premise of the technical solution of the present invention, and provides detailed implementation methods and specific operation processes. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention, and these all belong to the protection scope of the present invention.

[0054] An embodiment of the present invention provides a method for early warning of financial and medical insurance fraud based on a data relationship graph. Applying graph analysis to insurance detection includes the following steps:

[0055] Step 1. Obtain patient data and doctor data, use the patient data and doctor data as nodes respectively, count the discrete distribution of the data, construct edges according to the distance of the discrete distribution, and construct a relations...

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 provides a financial medical insurance fraud early warning method based on a relational graph. According to the method, composition is carried out on medical entities and discrete distribution of statistical related data between the entities. The relationship network is analyzed, fraudulent suspects are searched iteratively by using a propagation algorithm, the range of the suspectsis narrowed by using user portraits through re-composition, and gangs with fraudulent behaviors are further screened out, so that related personnel can allocate resources to promote the next investigation. Meanwhile, the invention provides a financial medical insurance detection device and a terminal for executing the financial medical insurance fraud early warning method based on the relational graph. According to the invention, the medical insurance relation network is analyzed by using a graph calculation technology, rules do not need to be set manually, more efficient, faster and more flexible fraud detection can be realized, and the requirements of related industries are met.

Description

technical field [0001] The present invention relates to the technical field of graph computing, in particular to a method, device and terminal for early warning of financial and medical insurance fraud based on data relationship graphs that apply graph computing to financial and medical insurance detection. Background technique [0002] With the progress of the times, financial medical insurance has become an important and rapidly developing field in human life. However, a significant problem with financial health insurance is the large loss of payouts due to fraud and abuse. The seriousness of the fraud problem has attracted the financial, medical insurance industry and the data analysis industry to make a lot of efforts to develop related fraud detection methods, but the fraud detection problem is still far from being solved, and it has become one of the most promising application areas of data analysis . An efficient financial health insurance fraud detection method wil...

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): G06Q40/08
CPCG06Q40/08
Inventor 朱浩瑾李晋雷吴沛霖李超王健宗黄章成孔令炜肖京
Owner SHANGHAI JIAO TONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com