Hospital associated network structure characteristic-based city medical system clustering method

A technology of association network and clustering method, which is applied in the field of urban medical system clustering based on the structural characteristics of hospital association network, and can solve problems such as the inability to realize urban medical system clustering.

Active Publication Date: 2018-09-04
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0005] In order to overcome the lack of clustering of the urban medical system in the existing technology, in order to study the impact of the doctor's behavior in the first-

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  • Hospital associated network structure characteristic-based city medical system clustering method
  • Hospital associated network structure characteristic-based city medical system clustering method
  • Hospital associated network structure characteristic-based city medical system clustering method

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Embodiment Construction

[0059] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0060] refer to Figure 1 ~ Figure 3 , an urban medical system clustering method based on the structural characteristics of the hospital association network. The original 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 latitude and longitude of the hospital. In the present invention, we extract the names, professional titles and hospital names of doctors practicing at multiple points.

[0061] The present invention is specifically divided into the following five steps:

[0062] Step 1: Collect behavioral data on physicians' multisite practice;

[0063] Step 2: Construct a hospital-doctor bipartite network based on the behavioral data of doctors' multi-site practice;

[0064] Step 3: Project the hospital-doctor bipartit...

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Abstract

The invention discloses a hospital associated network structure characteristic-based city medical system clustering method. The method comprises the following steps of 1, collecting behavior data about multi-sited license of a doctor; 2, according to the behavior data of the multi-sited license of the doctor, establishing a hospital-doctor bipartite network; 3, projecting the hospital-doctor bipartite network to hospital associated networks of a single vertex; 4, extracting structural characteristics of the hospital associated networks; and 5, clustering the hospital associated networks by adopting a K-means algorithm. According to the method, the hospital-doctor bipartite network is established; the bipartite network is projected to the hospital associated networks of the single vertex; the structural characteristics of the hospital associated networks are extracted; and the hospital associated networks of first-tier cities and new first-tier cities are clustered by adopting the clustering algorithm. Subsequently, a distribution condition of city hospital networks can be analyzed in combination with policies implemented by the cities, traffic conditions and the like.

Description

technical field [0001] The present invention relates to data mining, network science, and machine learning technology, in particular to a clustering method for urban medical systems based on the structural characteristics of hospital-associated networks. Background technique [0002] Under the planned economic system, the medical and health system has a clear positioning. China's medical and health has created a series of brilliance, and has made great achievements in various aspects such as medical services and preventive health care. Medical services in rural and urban areas were also in full swing at this time, and the accessibility of medical services was greatly enhanced. Due to the influence of social and economic development and comprehensive national strength, as well as the management of "political and political integration", China has certain problems in medical technology, service level and infrastructure construction to varying degrees. This requires people to c...

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Application Information

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IPC IPC(8): G06F17/30G16H50/70
CPCG16H50/70
Inventor 宣琦李永苗虞烨炜郑钧傅晨波许荣华阮中远
Owner ZHEJIANG UNIV OF TECH
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