A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning
文献类型：期刊论文
| 作者 | Wang, Nian2,3; Rao, Yi1; Xiao, Jing1; Lu, Jiahui2,3; Cui, Li3; Wang, Nana2,3; Huang, Xi3 |
| 刊名 | SCIENTIFIC REPORTS
 |
| 出版日期 | 2018-11-27 |
| 卷号 | 8页码:12 |
| ISSN号 | 2045-2322 |
| DOI | 10.1038/s41598-018-32377-3 |
| 英文摘要 | Cervical spondylosis (CS), a most common orthopedic diseases, is mainly identified by the doctor's judgment from the clinical symptoms and cervical change provided by expensive instruments in hospital. Owing to the development of the surface electromyography (sEMG) technique and artificial intelligence, we proposed a convenient non-harm CS intelligent identify method EasiCNCSII, including the sEMG data acquisition and the CS identification. Faced with the limit testable muscles, the data acquisition method are proposed to conveniently and effectively collect data based on the tendons theory and CS etiology. Faced with high-dimension and the weak availability of the data, the 3-tier model EasiAI is developed to intelligently identify CS. The common features and new features are extracted from raw sEMG data in first tier. The EasiRF is proposed in second tier to further reduce the data dimension, improving the performance. A classification model based on gradient boosted regression tree is developed in third tier to identify CS. Compared with 4 common machine learning classification models, the EasiCNCSII achieves best performance of 91.02% in mean accuracy, 97.14% in mean sensitivity, 81.43% in mean specificity, 0.95 in mean AUC. |
| 资助项目 | Research Center for Ubiquitous Computing Systems ; National Natural Science Foundation of China (NSFC)[61672498] |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:000451316300001 |
| 出版者 | NATURE PUBLISHING GROUP |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/3542]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Cui, Li |
| 作者单位 | 1.CACMS, Xiyuan Hosp, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Chinese Acad Sci, ICT, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Nian,Rao, Yi,Xiao, Jing,et al. A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning[J]. SCIENTIFIC REPORTS,2018,8:12. |
| APA | Wang, Nian.,Rao, Yi.,Xiao, Jing.,Lu, Jiahui.,Cui, Li.,...&Huang, Xi.(2018).A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning.SCIENTIFIC REPORTS,8,12. |
| MLA | Wang, Nian,et al."A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning".SCIENTIFIC REPORTS 8(2018):12. |
入库方式： OAI收割
来源：计算技术研究所
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