基于多专家的远程医疗决策支持系统

V. Terziyan, S. Puuronen, Mikko Kovalainen
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引用次数: 32

摘要

本文论述了人工智能在远程医疗中的应用研究成果。研究的主要目标是管理从不同国家的专家医师那里获得的多种专业知识,以开发基于电信工具的广泛指定用途的决策支持医疗系统。讨论了基于转移学仪器的医学数据的多层次表示。该技术通过应用递归的普通统计工具,能够从拟周期医学信号的复杂动态中获取语义上的基本信息。投票式技术用于在医学专家对医学知识的描述中找到共识。研究成果应用于远程诊断专家医疗系统和医疗远程咨询支持系统的开发。
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Decision support system for telemedicine based on multiple expertise
This paper discusses results of the research in the area of artificial intelligence applications in telemedicine. The main goal of research is to manage multiple expertise obtained from experts-physicians in different countries to develop decision support medical system of broad earmarking based on telecommunication tools. The multilevel representation of medical data is discussed based on the apparatus of metastatistics. The technique is able to acquire semantically essential information from complex dynamics of quasi-periodical medical signals by applying recursively ordinary statistical tools. The voting-type technique is used to find consensus among medical experts in their description of medical knowledge. Research results are applied for developing Telediagnostic Expert Medical System and Medical Teleconsulting Support System.
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