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Improved Application of Paraconsistent Artificial Neural Networks in Diagnosis of Alzheimer's Disease
2011
Neuroscience International
Problem statement: The visual analysis of Electroencephalogram (EEG) activity has shown useful as a complementary tool in Alzheimer Disease (AD diagnosis) when the diagnosis remains uncertain, in addition to be used in some clinical protocols. However, this analysis is subject to the inherent equipment imprecision, biological artifact, electrical records, and subjective physician interpretation of the visual analysis variation. The Artificial Neural Network (ANN) could be a helpful tool,
doi:10.3844/amjnsp.2011.54.64
fatcat:3t6mexb5uzh4ph5ummwgb2d2fy