Data mining in schizophrenia research - Preliminary analysis

5Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free