IFSIMS - Internet Framework Service for Intelligent Medical Systems

M. Lenic, P. Kokol, Ryuichi Yamamoto
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Abstract

Modern medicine generates huge amounts of sensitive data. Data mining and knowledge discovery systems can be used to extract useful information/knowledge in order to to improve future diagnoses and reduce costs. On the other hand, when analysing data, the most recent methods, that extract the most accurate knowledge and decision models, should be used. This can be established with a service enabling quick access to newly developed methods. In this paper, a service for doing this, named IFSIMS (Internet Framework Service for Intelligent Medical Systems), is presented.
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智能医疗系统的互联网框架服务
现代医学产生了大量的敏感数据。数据挖掘和知识发现系统可以用来提取有用的信息/知识,以提高未来的诊断和降低成本。另一方面,在分析数据时,应该使用提取最准确的知识和决策模型的最新方法。这可以通过快速访问新开发方法的服务来建立。本文提出了一种服务,名为IFSIMS (Internet Framework service for Intelligent Medical Systems)。
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