Diagnosis of airway obstruction or restrictive spirometric patterns by multiclass support vector machines

Journal of Medical Systems

Volumn 34, Issue 5, 2010, Pages 967-973

  Sahin, Deniz ^a   Übeyli, Elif Derya ^c   Ilbay, Gul ^a   Sahin, Murat ^b   Yasar, Alisan Burak ^a  

^a KOCAELI UNIVERSITY   (Turkey)

^b Kocaeli State Hospital   (Turkey)

^c Umut Tepe Campus ^*

Author keywords

Classification accuracy; Multiclass support vector machine (SVM); Spirometric patterns

Indexed keywords

AIRWAY OBSTRUCTION; ARTICLE; CLINICAL DECISION MAKING; DIAGNOSTIC ACCURACY; FORCED EXPIRATORY VOLUME; HUMAN; SPIROMETRY; SUPPORT VECTOR MACHINE;

ADULT; FORCED EXPIRATORY VOLUME; HUMANS; MALE; NEURAL NETWORKS (COMPUTER); PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; RESPIRATORY INSUFFICIENCY; SENSITIVITY AND SPECIFICITY; SPIROMETRY; VITAL CAPACITY;

EID: 77957580238     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10916-009-9312-7     Document Type: Article

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