Radial basis function classifiers to help in the diagnosis of the obstructive sleep apnoea syndrome from nocturnal oximetry

Medical and Biological Engineering and Computing

Volumn 46, Issue 4, 2008, Pages 323-332

  Marcos, J Víctor ^a   Hornero, Roberto ^a   Álvarez, Daniel ^a   Del Campo, Félix ^b   López, Miguel ^a   Zamarrón, Carlos ^c  

^a UNIVERSITY OF VALLADOLID   (Spain)

^b HOSPITAL UNIVERSITARIO RÍO HORTEGA   (Spain)

^c Instituto de Salud Carlos III   (Spain)

Author keywords

Data clustering; Nocturnal oximetry; Nonlinear analysis; Obstructive sleep apnoea syndrome; Radial basis function neural network

Indexed keywords

CLUSTER ANALYSIS; FUZZY RULES; NONLINEAR ANALYSIS; PATIENT TREATMENT; RADIAL BASIS FUNCTION NETWORKS;

DATA CLUSTERING; NOCTURNAL OXIMETRY; OBSTRUCTIVE SLEEP APNOEA SYNDROME; ORTHOGONAL LEAST SQUARE; RECEIVER OPERATING CHARACTERISTIC;

DIAGNOSIS;

OXYGEN;

ADULT; AGED; ALGORITHM; AREA UNDER THE CURVE; ARTERIAL OXYGEN SATURATION; ARTICLE; CLASSIFICATION; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FEMALE; FUZZY SYSTEM; HUMAN; KAPPA STATISTICS; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; NON INVASIVE PROCEDURE; NONLINEAR SYSTEM; PULSE OXIMETRY; RADIAL BASED FUNCTION; RECEIVER OPERATING CHARACTERISTIC; REGRESSION ANALYSIS; SENSITIVITY AND SPECIFICITY; SLEEP APNEA SYNDROME; VALIDATION STUDY;

AGED; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); OXIMETRY; OXYGEN; PATTERN RECOGNITION, AUTOMATED; ROC CURVE; SENSITIVITY AND SPECIFICITY; SLEEP APNEA, OBSTRUCTIVE;

EID: 41149089754     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-007-0280-0     Document Type: Article

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