A comparison of artificial intelligence methods on determining coronary artery disease

Communications in Computer and Information Science

Volumn 114 CCIS, Issue , 2010, Pages 18-26

  Babaoǧlu, Ismail ^a   Baykan, Ömer Kaan ^a   Aygül, Nazif ^a   Özdemir, Kurtuluş ^a   Bayrak, Mehmet ^b  

^a SELCUK UNIVERSITY   (Turkey)

^b MEVLANA UNIVERSITY   (Turkey)

Author keywords

artificial neural networks; coronary artery disease; Exercise stress testing; support vector machine

Indexed keywords

ARTIFICIAL INTELLIGENCE METHODS; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION ACCURACY; CORONARY ANGIOGRAPHY; CORONARY ARTERY DISEASE; CROSS-VALIDATION METHODS; DIAGNOSTIC ACCURACY; EXERCISE STRESS TESTING; KAPPA COEFFICIENT; MULTI-LAYERED; PERCEPTRON NEURAL NETWORKS; SENSITIVITY AND SPECIFICITY;

DISEASES; HEART; INFORMATION TECHNOLOGY; MEASUREMENT THEORY; NETWORK LAYERS; SUPPORT VECTOR MACHINES;

NEURAL NETWORKS;

EID: 78650094794     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-16699-0_3     Document Type: Conference Paper

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