Assessment of four statistical pattern recognition techniques to assist in obstructive sleep apnoea diagnosis from nocturnal oximetry

Medical Engineering and Physics

Volumn 31, Issue 8, 2009, Pages 971-978

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

^a UNIVERSITY OF VALLADOLID   (Spain)

^b HOSPITAL UNIVERSITARIO RÍO HORTEGA   (Spain)

^c Instituto de Salud Carlos III   (Spain)

Author keywords

Discriminant analysis; K Nearest neighbours; Logistic regression; Obstructive sleep apnoea; Oxygen saturation; Statistical pattern recognition

Indexed keywords

K-NEAREST NEIGHBOURS; LOGISTIC REGRESSION; OBSTRUCTIVE SLEEP APNOEA; OXYGEN SATURATION; STATISTICAL PATTERN RECOGNITION;

CLASSIFIERS; DIAGNOSIS; DISCRIMINANT ANALYSIS; ELECTRIC REACTORS; LEARNING SYSTEMS; LOGISTICS; OXYGEN; REGRESSION ANALYSIS; SLEEP RESEARCH; STATISTICAL TESTS;

PATTERN RECOGNITION;

ADULT; ARTICLE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION ALGORITHM; CLASSIFIER; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DISCRIMINANT ANALYSIS; FEMALE; HUMAN; K NEAREST NEIGHBOR; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; OXIMETRY; OXYGEN SATURATION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RECORDING; SENSITIVITY AND SPECIFICITY; SLEEP APNEA SYNDROME; STATISTICAL ANALYSIS;

ALGORITHMS; DATA INTERPRETATION, STATISTICAL; DISCRIMINANT ANALYSIS; HUMANS; LINEAR MODELS; LOGISTIC MODELS; MALE; MIDDLE AGED; OXIMETRY; OXYGEN; PATTERN RECOGNITION, AUTOMATED; SLEEP APNEA, OBSTRUCTIVE; TIME FACTORS;

EID: 70349459751     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.medengphy.2009.05.010     Document Type: Article

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