AAAI Publications, Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence

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Discovery of Discriminating Neural Regions for MRI Classification
S. Seth Long, Lawrence B. Holder

Last modified: 2013-06-29

Abstract


Machine learning methods can be applied to MRI scans of the brain in order to classify patients according to particular characteristics, such as Alzheimer's Disease, advanced age, or a high level of education. This work presents the Graph Neural Analyzer, which can discover structural correlations with a variety of potential classifications including age, level of education, gender, socioeconomic status, ethnicity, and Alzheimer's Disease. Classification is used as a demonstration that discovered correlations are valid, rather than as an end in itself. Results are given for each of the classifications given above.

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