Intrahospital infection risk analysis method and system based on association rule and complex network

A technology of nosocomial infection and complex network, applied in the field of public health, it can solve problems such as affecting the efficiency of treatment, prolonging hospitalization time, and spreading the epidemic.

Active Publication Date: 2022-07-05
HUAZHONG UNIV OF SCI & TECH
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

It not only poses a threat to the health of patients and medical staff, but also affects the efficiency of treatment, leading to the further spread of the epidemic
Surveys show that management of

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  • Intrahospital infection risk analysis method and system based on association rule and complex network
  • Intrahospital infection risk analysis method and system based on association rule and complex network
  • Intrahospital infection risk analysis method and system based on association rule and complex network

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Embodiment Construction

[0048] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0049] In order to make the objects, features and advantages of the present invention more clearly understood, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.

[0050] like figure 1 As shown, the nosocomial infection risk analysis method based on association rules and complex networks provided by the present invention includes the following steps:

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Abstract

The invention discloses a hospital infection risk analysis method and system based on association rules and a complex network. The method comprises the following steps: performing keyword retrieval through a web crawler to obtain hospital infection related data; formulating a hospital infection event risk factor summary table based on the hospital infection related data; based on the hospital infection event risk factor summary sheet, performing data mining by using an Apriori algorithm to obtain a frequent item set and an association rule; constructing a complex network based on the frequent item set and the association rule; determining key risk nodes according to the node degree and the intermediary centrality in the complex network, and marking the key risk nodes as key risk factors of hospital infection accidents; and performing prevention and control according to the key risk factors. According to the method, based on real hospital infection data, mutual influence among multiple risk factors is considered, association rule mining and a complex network are combined to determine key risk factors, and therefore effective prevention and management and control are carried out.

Description

technical field [0001] The invention relates to the technical field of public health, in particular to a nosocomial infection risk analysis method and system based on association rules and complex networks. Background technique [0002] In December 2019, the new crown pneumonia began to spread in China and quickly swept the world. As the front line of the fight against the new crown pneumonia epidemic, medical staff are always facing a huge risk of nosocomial infection in addition to treating patients. Nosocomial infection, also known as hospital-acquired infection, refers to the non-primary infection acquired by the population during the stay and treatment in the hospital. It not only poses a threat to the health of patients and medical staff, but also affects the efficiency of treatment, leading to the further spread of the epidemic. Surveys have shown that management of nosocomial infections often requires prolonged hospital stays, additional investigations, surgical in...

Claims

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Application Information

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IPC IPC(8): G16H50/80G16H50/30G06F17/11G06F16/951G06F16/2458
CPCG16H50/80G16H50/30G06F16/951G06F16/2465G06F17/11Y02A90/10
Inventor 周迎李晨爽丁烈云骆汉宾王宇梅雅琴
Owner HUAZHONG UNIV OF SCI & TECH
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