Clustering as a Data Mining Method in a Web-based System for Thorarcic Surgery

机译：聚类作为基于Web的胸外科手术系统中的数据挖掘方法

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Cluster analysis is one way of data mining from large amounts of information. Being able to perform series of analyses, varying clinical criteria and requests, expected results of the clustering might be truly rewarding. Instead of having a few hypotheses prepared and tested, medical experts can be surprised by obtaining a set of hypotheses to further validate and work on.Internet technologies enable a substantial flexibility that can be taken advantage of when implementing a Web-based tool. Division of Medical Informatics together with Linköping Heart Center of the Linköping University is developing procedures for multivariate clustering within the Web-based >AssistMe¹ system.

机译：聚类分析是从大量信息中挖掘数据的一种方法。能够执行一系列分析，改变临床标准和要求，进行聚类的预期结果可能会真正有意义。无需准备和检验一些假设，医学专家会惊讶于获得一组进一步验证和研究的假设。Internet技术可提供实现基于Web的工具时可利用的极大灵活性。医学信息学部门与林雪平大学林雪平心脏中心一起，正在开发基于Web的> AssistMe ^{1 系统中的多元聚类程序。}

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期刊名称 AMIA Annual Symposium Proceedings
作者
Örjan Dahlström; Ankica Babic; Johan Antonsson; Urban Lönn; Henrik Casimir-Ahn;
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年(卷),期 2001(888),-1
年度 2001
页码 888
总页数 1
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Clustering as a Data Mining Method in a Web-based System for Thorarcic Surgery

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