The application of rough set and Mahalanobis distance to enhance the quality of OSA diagnosis

Expert Systems with Applications

Volumn 38, Issue 6, 2011, Pages 7828-7836

  Wang, Pa Chun ^a,b,c   Su, Chao Ton ^d   Chen, Kun Huang ^d   Chen, Ning Hung ^e  

^a CATHAY GENERAL HOSPITAL   (Taiwan)

^b FU JEN CATHOLIC UNIVERSITY   (Taiwan)

^c CHINA MEDICAL UNIVERSITY   (Taiwan)

^d NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^e CHANG GUNG UNIVERSITY   (Taiwan)

Author keywords

Mahalanobis distance; Obstructive sleep apnea; Rough set

Indexed keywords

ANALYTICAL APPROACH; ARTIFICIAL NEURAL NETWORKS; CLINICAL DECISION; DEDICATED SYSTEMS; LABOR INTENSIVE; LOGISTIC REGRESSIONS; MAHALANOBIS DISTANCES; OBSTRUCTIVE SLEEP APNEA; POLYSOMNOGRAPHY; PUBLIC HEALTH; QUESTIONNAIRE DATA; ROUGH SET; SLEEP APNEA; SLEEP DISORDERS; SLEEP LABORATORIES;

DECISION TREES; DIAGNOSIS; FEATURE EXTRACTION; NEURAL NETWORKS; ROUGH SET THEORY;

SLEEP RESEARCH;

EID: 79951579063     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.12.122     Document Type: Article

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