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Data Mining in Schizophrenia Research - preliminary analysis
KTH, School of Computer Science and Communication (CSC), Numerical Analysis and Computer Science, NADA.
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2002 (English)Conference paper (Refereed)
Abstract [en]

We describe methods used and some results in a study of schizophrenia in a population of affected and unaffected participants, called patients and controls. The subjects are characterized by diagnosis, genotype, brain anatomy (MRI), laboratory tests on blood samples, and basic demographic data. The long term goal is to identify the causal chains of processes leading to disease. We describe a number of preliminary findings, which confirm earlier results on deviations of brain tissue volumes in schizophrenia patients, and also indicate new effects that are presently under further investigation. More importantly, we discuss a number of issues in selection of methods from the very large set of tools in data mining and statistics.

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Computer and Information Science
URN: urn:nbn:se:kth:diva-58731OAI: diva2:473859
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
NR 20140805Available from: 2012-01-08 Created: 2012-01-08Bibliographically approved

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Arnborg, Stefan
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Numerical Analysis and Computer Science, NADA
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