A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning

doi:10.1038/s41598-018-32377-3

	A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning
	Wang, Nana 1,2; Huang, Xi 1; Rao, Yi 3; Xiao, Jing 3; Lu, Jiahui 1,2; Wang, Nian 1,2; Cui, Li 1
	2018-11-27
发表期刊	SCIENTIFIC REPORTS
ISSN	2045-2322
卷号	8 页码:12
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.
DOI	10.1038/s41598-018-32377-3
收录类别	SCI
语种	英语
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
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:000451316300001
出版者	NATURE PUBLISHING GROUP
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/3543
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.Chinese Acad Sci, ICT, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.CACMS, Xiyuan Hosp, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wang, Nana,Huang, Xi,Rao, Yi,et al. A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning[J]. SCIENTIFIC REPORTS,2018,8:12.
APA	Wang, Nana.,Huang, Xi.,Rao, Yi.,Xiao, Jing.,Lu, Jiahui.,...&Cui, Li.(2018).A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning.SCIENTIFIC REPORTS,8,12.
MLA	Wang, Nana,et al."A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning".SCIENTIFIC REPORTS 8(2018):12.