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

Dahlström, ÖrjanLinköpings universitet,Institutionen för medicinsk teknik,Tekniska högskolan (author)

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.

Babic, Ankica,1960-Linköpings universitet,Medicinsk informatik,Tekniska högskolan(Swepub:liu)ankba12 (author)
Antonsson, Johan,1973-Linköpings universitet,Medicinsk informatik,Tekniska högskolan(Swepub:liu)johan25 (author)
Lönn, UrbanUppsala Universitet (author)
Ahn, Henrik Casimir,1949-Östergötlands Läns Landsting,Linköpings universitet,Thoraxkirurgi,Hälsouniversitetet,Thorax-kärlkliniken(Swepub:liu)henah22 (author)
Linköpings universitetInstitutionen för medicinsk teknik (creator_code:org_t)

In:Journal of the Medical Informatics Association. Symposium SupplementWashington : Hanley&Belfus, s. 888-1560535369

By the author/editor: Dahlström, Örjan; Babic, Ankica, 1 ...; Antonsson, Johan ...; Lönn, Urban; Ahn, Henrik Casi ...

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