Utilization of artificial neural networks and autoregressive modeling in diagnosing mitral valve stenosis

Computers in Biology and Medicine

Volumn 36, Issue 5, 2006, Pages 473-483

  Kara, Sadik ^a   Güven, Ayşegül ^a   Okandan, Mustafa ^a   Dirgenali, Fatma ^b  

^a ERCIYES UNIVERSITY   (Turkey)

^b Department of Electrical Engineering ^*  (Turkey)

Author keywords

Artificial neural networks; Autoregressive modeling; Back propagation algorithm; Levenberg Marquart method; Mitral valve stenosis

Indexed keywords

AUTOREGRESSIVE MODELING; CLASSIFICATION STRUCTURES; LEVENBERG MARQUART METHOD; MITRAL VALVE STENOSIS;

ALGORITHMS; BACKPROPAGATION; COMPUTER SIMULATION; DIAGNOSIS; DOPPLER EFFECT; MULTILAYERS; REGRESSION ANALYSIS;

NEURAL NETWORKS;

ADULT; AGED; ALGORITHM; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC PROCEDURE; DOPPLER FLOWMETRY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL MODEL; METHODOLOGY; MITRAL VALVE STENOSIS; PREDICTION; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SPECTROMETRY;

ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; CONSTRICTION, PATHOLOGIC; FALSE POSITIVE REACTIONS; FEMALE; HUMANS; MALE; MITRAL VALVE STENOSIS; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 33646351969     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2005.01.007     Document Type: Article

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