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Clustering as a data mining method in a Web-based system for thoracic surgery

Dahlström, Örjan (author)
Linköpings universitet,Institutionen för medicinsk teknik,Tekniska högskolan
Babic, Ankica, 1960- (author)
Linköpings universitet,Medicinsk informatik,Tekniska högskolan
Antonsson, Johan, 1973- (author)
Linköpings universitet,Medicinsk informatik,Tekniska högskolan
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Lönn, Urban (author)
Uppsala Universitet
Ahn, Henrik Casimir, 1949- (author)
Östergötlands Läns Landsting,Linköpings universitet,Thoraxkirurgi,Hälsouniversitetet,Thorax-kärlkliniken
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 (creator_code:org_t)
Washington : Hanley&Belfus, 2001
2001
English.
In: Journal of the Medical Informatics Association. Symposium Supplement. - Washington : Hanley&Belfus. - 1560535369 ; , s. 888-
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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.

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MEDICINE
MEDICIN

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