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

PageRank algorithm-based hospital importance ranking method

A technology of importance and hospitals, which is applied in the field of ranking the importance of hospitals based on the PageRank algorithm, can solve problems such as the impossibility of ranking the importance of hospitals

Inactive Publication Date: 2018-11-13
ZHEJIANG UNIV OF TECH
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the insufficiency of the hospital importance ranking method in the existing technology, the influence of the doctor's behavior in the first-tier cities and the new first-tier cities on the hospital importance ranking is studied

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
  • PageRank algorithm-based hospital importance ranking method
  • PageRank algorithm-based hospital importance ranking method
  • PageRank algorithm-based hospital importance ranking method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0025] refer to Figure 1 ~ Figure 2 , a hospital importance ranking method based on the PageRank algorithm, the data used in the present invention records information such as the names of doctors practicing at multiple points, the name of the hospital, and the address of the hospital.

[0026] The present invention is specifically divided into the following four steps:

[0027] Step 1: Collect behavioral data about doctors' multi-site practice and build a hospital association network;

[0028] Step 2: Generate a probability transition matrix according to the hospital association network;

[0029] Step 3: Use the PageRank algorithm to rank the importance of hospitals;

[0030] Step 4: Use the Spearman rank correlation coefficient to conduct correlation analysis with the hospital's online ranking.

[0031] In the step...

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 a PageRank algorithm-based hospital importance ranking method. The method comprises the following steps of: 1, collecting behavior data about doctor multi-sited license and constructing a hospital association network; 2, generating a probability transfer matrix according to the hospital association network; 3, ranking the importance of hospitals by adoption of a PageRank algorithm; and 4, carrying out relevancy analysis by adoption of a Spearman rank correlation coefficient and online ranking of the hospitals. According to the method, hospital association networks are constructed, importance ranking is carried out on hospitals in hospital association networks in first-tier cities and new first-tier cities by using the PageRank algorithm, and finally relevancy analysis is carried out by using the Spearman rank correlation coefficient and the online ranking of the hospitals, so that the importance ranking conditions of the hospitals in the first-tier cities and new first-tier cities, the policies implemented by the cities and traffic conditions of the cities can be combined to carry out analysis.

Description

technical field [0001] The invention relates to data mining and network science and technology, in particular to a ranking method of hospital importance based on PageRank algorithm. Background technique [0002] With the rapid development of information technology, human social activities are increasingly networked. Our lives are surrounded by various networks, such as online social networks, communication networks, and scientific research cooperation networks for communicating with others; the Internet, transportation networks, and power networks that are closely related to life; metabolic networks, neural networks, and Gene regulatory networks, etc. With the vigorous development of network science, the research of node importance has been paid more attention by people. How to correctly evaluate the importance of nodes has become an important topic in complex network research. [0003] The node importance ranking method based on random walk is mainly used for web page ra...

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): G06F17/30G16H40/20
CPCG16H40/20
Inventor 宣琦李永苗虞烨炜郑钧俞山青阮中远徐东伟许荣华
Owner ZHEJIANG UNIV OF TECH
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