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Data Mining in Schizophrenia Research - Preliminary Analysis

机译:精神分裂症研究中的数据挖掘 - 初步分析

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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.
机译:我们描述了使用的方法和一些导致受影响和未受影响的参与者人群的精神分裂症研究,称为患者和对照。受试者的特征在于诊断,基因型,脑解剖学(MRI),对血液样本的实验室测试和基本的人口统计数据。长期目标是识别导致疾病的过程的因果链。我们描述了许多初步调查结果,该结果证实了脑组织体积偏离精神分裂症患者的结果,并表明目前正在进一步调查的新效果。更重要的是,我们讨论了许多问题选择了来自数据挖掘和统计数据的大量工具的方法。

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