A classifier based on the artificial neural network approach for cardiologic auscultation in pediatrics

Artificial Intelligence in Medicine

Volumn 33, Issue 3, 2005, Pages 251-260

  Bhatikar, Sanjay R ^a,c   DeGroff, Curt ^b   Mahajan, Roop L ^a  

^a UCB 450   (United States)

^b CHILDREN S HOSPITAL   (United States)

^c GE GLOBAL RESEARCH   (India)

Author keywords

Artificial neural network classifier; Pediatric cardiac auscultation; Phonocardiography

Indexed keywords

CARDIOLOGY; DATA ACQUISITION; DIGITAL SIGNAL PROCESSING; DISEASES; ECHOCARDIOGRAPHY; FAST FOURIER TRANSFORMS; HEALTH CARE; PEDIATRICS;

CONGENITAL HEART DISEASE; PEDIATRIC CARDIOLOGY; SIGNAL QUALITY SOUNDS; VENTRICULAR SEPTAL DEFECT (VSD);

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; COMPUTER PROGRAM; CONGENITAL HEART DISEASE; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST; ELECTROCARDIOGRAM; ENERGY; EXPERT SYSTEM; FOURIER TRANSFORMATION; HEART AUSCULTATION; HEART MURMUR; HEART VENTRICLE SEPTUM DEFECT; MEDICAL DECISION MAKING; PEDIATRICS; PRIORITY JOURNAL; RECORDING; SCREENING TEST; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; UNITED STATES;

EID: 16244367427     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2004.07.008     Document Type: Article

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