{"title":"Distributed data mining from heterogeneous healthcare data repositories: towards an intelligent agent-based framework","authors":"S. Zaidi, S. Abidi, S. Manickam","doi":"10.1109/CBMS.2002.1011401","DOIUrl":null,"url":null,"abstract":"This paper presents a case for an intelligent agent-based framework for knowledge discovery in a distributed healthcare environment comprising multiple heterogeneous healthcare data repositories. Data-mediated knowledge discovery, especially from multiple heterogeneous data resources, is a tedious process and imposes significant operational constraints on end-users. We demonstrate that autonomous, reactive and proactive intelligent agents provide an opportunity to generate end-user-oriented, packaged, value-added decision-support/strategic planning services for healthcare professionals and managers. We propose the use of intelligent agents to implement a distributed agent-based data mining information structure that provides a suite of healthcare-oriented decision-support/strategic planning services.","PeriodicalId":369629,"journal":{"name":"Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.2002.1011401","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
Abstract
This paper presents a case for an intelligent agent-based framework for knowledge discovery in a distributed healthcare environment comprising multiple heterogeneous healthcare data repositories. Data-mediated knowledge discovery, especially from multiple heterogeneous data resources, is a tedious process and imposes significant operational constraints on end-users. We demonstrate that autonomous, reactive and proactive intelligent agents provide an opportunity to generate end-user-oriented, packaged, value-added decision-support/strategic planning services for healthcare professionals and managers. We propose the use of intelligent agents to implement a distributed agent-based data mining information structure that provides a suite of healthcare-oriented decision-support/strategic planning services.
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