Diagnosing old MI by searching for a linear boundary in the space of principal components

IEEE Transactions on Information Technology in Biomedicine

Volumn 10, Issue 3, 2006, Pages 476-483

  Donnelly, Mark P ^a   Nugent, Chris D ^a   Finlay, Dewar D ^a   Rooney, Niall F ^a   Black, Norman D ^a  

^a UNIVERSITY OF ULSTER   (United Kingdom)

Author keywords

Body surface potential mapping (BSPM); Generalization; Neural networks (NNs)

Indexed keywords

DIAGNOSIS; MEDICAL IMAGING; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS;

BODY SURFACE POTENTIAL MAPPING (BSPM); DIAGNOSTIC CLASSIFIERS; LINEAR HYPERPLANE APPROACH (LHA);

CARDIOVASCULAR SYSTEM;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; CORONARY ARTERY DISEASE; ELECTROCARDIOGRAPHY; FACTUAL DATABASE; HEART INFARCTION; INFORMATION RETRIEVAL; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BODY SURFACE POTENTIAL MAPPING; CLUSTER ANALYSIS; COMPUTER SIMULATION; CORONARY DISEASE; DATABASES, FACTUAL; DIAGNOSIS, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; LINEAR MODELS; MODELS, CARDIOVASCULAR; MYOCARDIAL INFARCTION; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY;

EID: 33746932461     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2006.876033     Document Type: Article

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