Analysis of the Diagnostic Effect of EUS-RTE on Giant Cystic Tumours of the Oesophagus Based on Cluster Analysis

This paper presents an in-depth analysis and study of the diagnostic effectiveness of EUS-RTE in giant cystic tumours of the oesophagus utilizing cluster analysis. A new form of interval data expression was designed based on the cluster analysis algorithm, as well as a new way of updating the cluste...

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Autores principales:	Huizhen Yang, Zhenghang Zhang, Yingbi He, Bin Tian, Xiaozhen Zhang, Yingying Hao, Shuang Lu, Yanhua Tian
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Medicine (General) R5-920 Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/e08bffc7ba044f2c803c3a33946c7102
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spelling	oai:doaj.org-article:e08bffc7ba044f2c803c3a33946c71022021-11-15T01:19:38ZAnalysis of the Diagnostic Effect of EUS-RTE on Giant Cystic Tumours of the Oesophagus Based on Cluster Analysis2040-230910.1155/2021/1395826https://doaj.org/article/e08bffc7ba044f2c803c3a33946c71022021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1395826https://doaj.org/toc/2040-2309This paper presents an in-depth analysis and study of the diagnostic effectiveness of EUS-RTE in giant cystic tumours of the oesophagus utilizing cluster analysis. A new form of interval data expression was designed based on the cluster analysis algorithm, as well as a new way of updating the cluster radius and cluster centre. Feature triads are defined, eliminating the need to access all historical data at the time of update. It also prevents the case of overfusion of clusters and outputting only one cluster. If there exist a very low number of clusters, the newly merged clusters are reclustered according to the density clustering method for the internal data objects based on the cluster segmentation so that the data objects in the same cluster have a high similarity as possible. All accumulated electronic files of oesophageal cancer cases were collected and comprehensively organized, and all clinical data of 129 eligible cases with a total of 356 consultations were screened in strict accordance with inclusion and exclusion criteria. A database of oesophageal cancer cases was established using Visual FoxPro software, and frequency distribution, cluster analysis, association rule, and chi-square test were used to focus on mining the association between symptoms, disease mechanisms, prescriptions, and medications. The results were analysed and summarized. Overall, the therapeutic efficacy and safety of the three groups of treatment modalities for gastric mesenchymal tumours were positive, and the preoperative endoscopic treatment modalities should be selected based on the EUS-RTE characteristics of the tumour, the site, and the operator’s skill level in a comprehensive manner.Huizhen YangZhenghang ZhangYingbi HeBin TianXiaozhen ZhangYingying HaoShuang LuYanhua TianHindawi LimitedarticleMedicine (General)R5-920Medical technologyR855-855.5ENJournal of Healthcare Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920 Medical technology R855-855.5
spellingShingle	Medicine (General) R5-920 Medical technology R855-855.5 Huizhen Yang Zhenghang Zhang Yingbi He Bin Tian Xiaozhen Zhang Yingying Hao Shuang Lu Yanhua Tian Analysis of the Diagnostic Effect of EUS-RTE on Giant Cystic Tumours of the Oesophagus Based on Cluster Analysis
description	This paper presents an in-depth analysis and study of the diagnostic effectiveness of EUS-RTE in giant cystic tumours of the oesophagus utilizing cluster analysis. A new form of interval data expression was designed based on the cluster analysis algorithm, as well as a new way of updating the cluster radius and cluster centre. Feature triads are defined, eliminating the need to access all historical data at the time of update. It also prevents the case of overfusion of clusters and outputting only one cluster. If there exist a very low number of clusters, the newly merged clusters are reclustered according to the density clustering method for the internal data objects based on the cluster segmentation so that the data objects in the same cluster have a high similarity as possible. All accumulated electronic files of oesophageal cancer cases were collected and comprehensively organized, and all clinical data of 129 eligible cases with a total of 356 consultations were screened in strict accordance with inclusion and exclusion criteria. A database of oesophageal cancer cases was established using Visual FoxPro software, and frequency distribution, cluster analysis, association rule, and chi-square test were used to focus on mining the association between symptoms, disease mechanisms, prescriptions, and medications. The results were analysed and summarized. Overall, the therapeutic efficacy and safety of the three groups of treatment modalities for gastric mesenchymal tumours were positive, and the preoperative endoscopic treatment modalities should be selected based on the EUS-RTE characteristics of the tumour, the site, and the operator’s skill level in a comprehensive manner.
format	article
author	Huizhen Yang Zhenghang Zhang Yingbi He Bin Tian Xiaozhen Zhang Yingying Hao Shuang Lu Yanhua Tian
author_facet	Huizhen Yang Zhenghang Zhang Yingbi He Bin Tian Xiaozhen Zhang Yingying Hao Shuang Lu Yanhua Tian
author_sort	Huizhen Yang
title	Analysis of the Diagnostic Effect of EUS-RTE on Giant Cystic Tumours of the Oesophagus Based on Cluster Analysis
title_short	Analysis of the Diagnostic Effect of EUS-RTE on Giant Cystic Tumours of the Oesophagus Based on Cluster Analysis
title_full	Analysis of the Diagnostic Effect of EUS-RTE on Giant Cystic Tumours of the Oesophagus Based on Cluster Analysis
title_fullStr	Analysis of the Diagnostic Effect of EUS-RTE on Giant Cystic Tumours of the Oesophagus Based on Cluster Analysis
title_full_unstemmed	Analysis of the Diagnostic Effect of EUS-RTE on Giant Cystic Tumours of the Oesophagus Based on Cluster Analysis
title_sort	analysis of the diagnostic effect of eus-rte on giant cystic tumours of the oesophagus based on cluster analysis
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/e08bffc7ba044f2c803c3a33946c7102
work_keys_str_mv	AT huizhenyang analysisofthediagnosticeffectofeusrteongiantcystictumoursoftheoesophagusbasedonclusteranalysis AT zhenghangzhang analysisofthediagnosticeffectofeusrteongiantcystictumoursoftheoesophagusbasedonclusteranalysis AT yingbihe analysisofthediagnosticeffectofeusrteongiantcystictumoursoftheoesophagusbasedonclusteranalysis AT bintian analysisofthediagnosticeffectofeusrteongiantcystictumoursoftheoesophagusbasedonclusteranalysis AT xiaozhenzhang analysisofthediagnosticeffectofeusrteongiantcystictumoursoftheoesophagusbasedonclusteranalysis AT yingyinghao analysisofthediagnosticeffectofeusrteongiantcystictumoursoftheoesophagusbasedonclusteranalysis AT shuanglu analysisofthediagnosticeffectofeusrteongiantcystictumoursoftheoesophagusbasedonclusteranalysis AT yanhuatian analysisofthediagnosticeffectofeusrteongiantcystictumoursoftheoesophagusbasedonclusteranalysis
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Analysis of the Diagnostic Effect of EUS-RTE on Giant Cystic Tumours of the Oesophagus Based on Cluster Analysis

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