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. © 2002 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Arnborg, S., Agartz, I., Hall, H., Jönsson, E., Sillén, A., & Sedvall, G. (2002). Data mining in schizophrenia research - Preliminary analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2431 LNAI, pp. 27–38). Springer Verlag. https://doi.org/10.1007/3-540-45681-3_3
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