ISBN-10: 1591400112

ISBN-13: 9781591400110

ISBN-10: 1591400325

ISBN-13: 9781591400325

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For each volunteering subject, a large number of variables are obtained or measured, like age, gender, age of admission to psychiatric care; volumes of gray and white matter and cerebrospinal fluid in several regions of the brain (obtained from MR images), genetic characterization, and measurements of concentrations in the blood of large numbers of substances and metabolites. For the affected subjects, a detailed clinical characterization is recorded. In this application, one can easily get lost.

24 Arnborg Figure 5: Association between age and posterior superior vermis volume depends on diagnosis. The principal directions of variation for controls(o) and affected subjects (+) are shown. similarly co-varying with the vermis for controls and affected, there is a possibility that these regions are also affected by the disease similarly to the vermis. CONCLUSIONS This chapter emphasized the statistical approach to data mining. Meaning of data is therefore linked to its properties relative to statistical models.

This set was investigated with most methods described in this chapter, giving an understanding of the strongest relationships (graphical model), possible classifications into different types of the disease, etc. , variables and tuples of variables whose joint distribution is significantly different for affected person relative to control subjects. This exercise exhibited a very large number of such variables and tuples, many of which were known before, others not. All these associations point to possible mechanisms involved in the disease, which seems to permeate every part of the organism.

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Data Mining: A Heuristic Approach

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