Application of paraconsistent artificial neural networks as a method of aid in the diagnosis of Alzheimer disease

Journal of Medical Systems

Volumn 34, Issue 6, 2010, Pages 1073-1081

  Da Silva Lopes, Helder Frederico ^b   Abe, Jair M ^a   Anghinah, Renato ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b NONE

Author keywords

Alzheimer disease; Artificial neural network; Electroencephalogram; Paraconsistent logic; Pattern recognition

Indexed keywords

ALPHA RHYTHM; ALZHEIMER DISEASE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BETA RHYTHM; BRAIN FUNCTION; CLINICAL ARTICLE; CONTROLLED STUDY; DELTA RHYTHM; DIAGNOSTIC PROCEDURE; ELECTROENCEPHALOGRAM; FOURIER TRANSFORMATION; HUMAN; PARACONSISTENT ARTIFICIAL NEURAL NETWORK; PREDICTION; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; SENSITIVITY AND SPECIFICITY; THETA RHYTHM; WAKEFULNESS;

ALZHEIMER DISEASE; ELECTROENCEPHALOGRAPHY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; NEURAL NETWORKS (COMPUTER);

EID: 78649316879     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10916-009-9325-2     Document Type: Article

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