教師資料查詢 | 類別: 期刊論文 | 教師: 陳昆皇 KUN-HUANG CHEN (瀏覽個人網頁)

標題:The Application of Rough Set and Mahalanobis Distance to Enhance the Quality of OSA Diagnosis
學年100
學期1
出版(發表)日期2011/12/01
作品名稱The Application of Rough Set and Mahalanobis Distance to Enhance the Quality of OSA Diagnosis
作品名稱(其他語言)
著者P.-C. Wang; C.-T. Su; K.-H. Chen; N.-H. Chen
單位
出版者
著錄名稱、卷期、頁數Expert Systems with Applications 38(6), pp.7828–7836
摘要This study aims to apply an analytical approach based on anthropometry and questionnaire data to detect obstructive sleep apnea (OSA). In recent years, OSA has become a pressing public health problem that demands serious attention. Approximately one in five American adults has at least mild OSA. In 2004, access economics estimated that in the Australian community, the cost of sleep disorders was over $7 billion, and much of this cost was related to OSA. Traditionally, a polysomnography (PSG) is considered to be a well-established and effective diagnosis for this disorder. However, PSG is time consuming and labor intensive as doctors require an overnight PSG evaluation in sleep laboratories with dedicated systems and attending personnel.

Our proposed analytical approach is the integration of a rough set (RS) and the Mahalanobis distance (MD). RS was utilized to select important features, while MD was employed to distinguish the pattern of OSA. In this study, data were collected from 86 subjects (62 diseases and 24 non-diseases) who were referred for clinical suspicion of OSA. To grade the severity of the sleep apnea, the number of events per hour is reported as the apnea–hypopnea index (AHI). In the study, we define AHI < 5 as non-disease and AH ⩾ 5 as disease.

According to sensitivity, specificity analysis, and g-means, the results show that our proposed method outperforms other methods such as logistic regression (LR), artificial neural networks (ANNs), support vector machine (SVM), and the C4.5 decision tree. Implementation results show that not only can our proposed method effectively detect OSA; it can reduce the cost and time needed for an accurate diagnosis. The proposed approach can be employed by physicians when providing the clinical decision for their patients.
關鍵字Obstructive sleep apnea;Mahalanobis distance;Rough set
語言英文
ISSN0957-4174;1873-6793
期刊性質國外
收錄於SCI;
產學合作
通訊作者C.-T. Su
審稿制度
國別英國
公開徵稿
出版型式,電子版,紙本
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