Sarcoidosis Study

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Multi-level Clustering in Sarcoidosis: A Preliminary Study

Book SeriesLecture Notes in Computer Science

PublisherSpringer Berlin / Heidelberg

ISSN0302-9743 (Print) 1611-3349 (Online)

VolumeVolume 4594/2007

BookArtificial Intelligence in Medicine

DOI10.1007/978-3-540-73599-1

Copyright2007

ISBN978-3-540-73598-4

DOI10.1007/978-3-540-73599-1_27

Pages200-204

Subject CollectionComputer Science

SpringerLink DateThursday, August 30, 2007

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Multi-level Clustering in Sarcoidosis: A Preliminary Study

V. L. J. Karthaus1 , H. H. L. M. Donkers2, J. C. Grutters1, H. J. van den Herik2 and J. M. M. van den Bosch1

(1)

St. Antonius Hospital, P.O. Box 2500, 3430 EM Nieuwegein,

(2)

MICC / IKAT, Universiteit Maastricht, P.O. Box 616, 6200 MD Maastricht,

Abstract

Sarcoidosis

is a multisystem disorder that is characterized by the formation of

granulomas in certain organs of the body. The exact cause of

sarcoidosis is unknown but evidence exists that sarcoidosis results

from exposure of genetically susceptible hosts to specific

environmental agents. The wide degree of clinical heterogeneity might

indicate that sarcoidosis is not a single polymorphic disease but a

collection of genetically complex diseases. As a first step to identify

the hypothesized subcategories, large amounts of multidimensional data

are collected that are divided into distinct levels. We investigated

how clustering techniques can be applied to support the interpretation

of sarcoidosis and subsequently to reveal categories of sarcoidosis

data. An attempt is made to relate multiple clusters between the

different data levels based on validation criteria.

Keywords Sarcoidosis - Clustering

V. L. J. KarthausEmail: v.karthaus@...