期刊論文
| 學年 | 100 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2012-01-09 |
| 作品名稱 | Prediagnosis of Obstructive Sleep Apnea via Multiclass MTS |
| 作品名稱（其他語言） | |
| 著者 | C.-T. Su; K.-H. Chen; L.-F. Chen; P.-C. Wang; Y.-H. Hsiao |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Computational and Mathematical Methods in Medicine 2012, 212498(8pages) |
| 摘要 | Obstructive sleep apnea (OSA) has become an important public health concern. Polysomnography (PSG) is traditionally considered an established and effective diagnostic tool providing information on the severity of OSA and the degree of sleep fragmentation. However, the numerous steps in the PSG test to diagnose OSA are costly and time consuming. This study aimed to apply the multiclass Mahalanobis-Taguchi system (MMTS) based on anthropometric information and questionnaire data to predict OSA. Implementation results showed that MMTS had an accuracy of 84.38% on the OSA prediction and achieved better performance compared to other approaches such as logistic regression, neural networks, support vector machine, C4.5 decision tree, and rough set. Therefore, MMTS can assist doctors in prediagnosis of OSA before running the PSG test, thereby enabling the more effective use of medical resources. |
| 關鍵字 | |
| 語言 | en_US |
| ISSN | 1748-670X 1748-6718 |
| 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 | 是 |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/107037 ) |