Knowledge-based systems for biomedical laboratory applications

Thomas Kern, Karin Breuer, Doris Siegl, Wolfgang Straßer

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

Abstract

The research project BIO MIS focuses on three different biomedical problem domains, each dealing with huge amounts of data. In order to validate new input data and create a proposal system this data is used to build up an adaptive knowledge-base. The knowledge is structured by creating clusters of similar items and searching relationships among them. In the classification process system input is compared to the generated cluster profiles. If it affirms similarity it is assigned to the according cluster and, in that way, adapts the knowledge-base to recent circumstances. The clustering process is non-trivial since we mainly have to deal with non-metric laboratory data and cannot use standard clustering algorithms. Our new clustering approach is exemplified on the "LabExpert" package; a system part of one subproject implementing a validation system for large-scale laboratory data.

Original languageEnglish
Title of host publicationProceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004
EditorsA.M. Memon, N. Zhao
PublisherIEEE Systems, Man, and Cybernetics Society (SMC)
Pages314-319
Number of pages6
ISBN (Print)0780388194, 9780780388192
DOIs
Publication statusPublished - 2004
EventProceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004 - Las Vegas, NV, United States
Duration: 8 Nov 200410 Nov 2004

Publication series

NameProceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004

Conference

ConferenceProceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004
CountryUnited States
CityLas Vegas, NV
Period08.11.200410.11.2004

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