@inproceedings{6795d768078c405e838a954f707087fd,
title = "Multi-level clustering in sarcoidosis: A preliminary study",
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 = "Clustering, Sarcoidosis",
author = "Karthaus, {V. L.J.} and Donkers, {H. H.L.M.} and Grutters, {J. C.} and {Van Den Herik}, {H. J.} and {Van Den Bosch}, {J. M.M.}",
year = "2007",
doi = "10.1007/978-3-540-73599-1_27",
language = "English",
isbn = "3540735984",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "200--204",
booktitle = "Artificial Intelligence in Medicine - 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Proceedings",
address = "Germany",
note = "11th Conference on Artificial Intelligence in Medicine, AIME 2007 ; Conference date: 07-07-2007 Through 11-07-2007",
}