https://scholars.lib.ntu.edu.tw/handle/123456789/513180
標題: | Support vector machine prediction of obstructive sleep apnea in a large-scale Chinese clinical sample | 作者: | Wen-Chi Huang Lee, Pei-Lin Liu, Yu-Ting Chiang, Ambrose A FEI-PEI LAI |
關鍵字: | machine learning; modeling; obstructive; polysomnography; prediction; sleep apnea | 公開日期: | 13-七月-2020 | 卷: | 43 | 期: | 7 | 來源出版物: | Sleep | 摘要: | Polysomnography is the gold standard for diagnosis of obstructive sleep apnea (OSA) but it is costly and access is often limited. The aim of this study is to develop a clinically useful support vector machine (SVM)-based prediction model to identify patients with high probability of OSA for nonsleep specialist physician in clinical practice. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/513180 | ISSN: | 0161-8105 1550-9109 |
DOI: | 10.1093/sleep/zsz295 |
顯示於: | 醫學院附設醫院 (臺大醫院) |
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