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Clustering as a data mining method in a Web-based system for thoracic surgery
Linköpings universitet, Institutionen för medicinsk teknik. Linköpings universitet, Tekniska högskolan.ORCID-id: 0000-0002-1551-1722
Linköpings universitet, Institutionen för medicinsk teknik, Medicinsk informatik. Linköpings universitet, Tekniska högskolan.
Linköpings universitet, Institutionen för medicinsk teknik, Medicinsk informatik. Linköpings universitet, Tekniska högskolan.
Uppsala Universitet.
Vise andre og tillknytning
2001 (engelsk)Inngår i: Journal of the Medical Informatics Association. Symposium Supplement, Washington: Hanley&Belfus , 2001, s. 888-Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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 Linkoping Heart Center of the Linkoping University is developing procedures for multivariate clustering within the Web-based AssistMe1 system.

sted, utgiver, år, opplag, sider
Washington: Hanley&Belfus , 2001. s. 888-
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URN: urn:nbn:se:liu:diva-29005Lokal ID: 14238ISBN: 1560535369 (tryckt)OAI: oai:DiVA.org:liu-29005DiVA, id: diva2:249817
Konferanse
Journal of the Medical Informatics Association. Symposium Supplement, AMIA Annual Symposium, 3-7 November 2001, Washington, DC, USA
Tilgjengelig fra: 2009-10-09 Laget: 2009-10-09 Sist oppdatert: 2018-04-07

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Dahlström, ÖrjanBabic, AnkicaAntonsson, JohanAhn, Henrik Casimir

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