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Risk Detection of Stroke using a Feature Selection and Classification Method
Zhang YL(章永来)1; Song WA(宋文爱)1; Li S(李帅)2; Fu, Lizhen1; Li, Shixin3
Department数字工厂研究室
Source PublicationIEEE Access
ISSN2169-3536
2018
Volume6Pages:31899-31907
Indexed BySCI ; EI
EI Accession number20181905170361
WOS IDWOS:000437886800001
Contribution Rank2
Funding OrganizationNatural Science Foundation of Shanxi (Grant No. 201601D102031) and the National Natural Science Foundation of China (Grant No. 6160051296).
KeywordStroke Feature Selection Classification Support Vector Machine Machine Learning
Abstract

Stroke places a heavy burden of care on global societies. Risk detection of stroke is a challenging and time-sensitive task across the world. This article investigated biomedical tests and electronic archives of 792 records that contained 398 records from the five years preceding the onset of stroke at a community hospital. The records included 28 features. We have proposed a new feature selection model that combines support vector machines (SVM) with the glow-worm swarm optimization (GSO) algorithm based on the standard deviation (STD) of the features. The results showed that the proposed model achieved 82.58 accuracy by means of the 18 features among the original dataset. The new map thus represents an effective detection that can help to identify patients with an increased risk of stroke events.

Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/21861
Collection数字工厂研究室
Corresponding AuthorSong WA(宋文爱); Li S(李帅)
Affiliation1.North University of China, Taiyuan, 030051, China;
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China;
3.North Automatic Control Technology Institute, Taiyuan, 030006, China.
Recommended Citation
GB/T 7714
Zhang YL,Song WA,Li S,et al. Risk Detection of Stroke using a Feature Selection and Classification Method[J]. IEEE Access,2018,6:31899-31907.
APA Zhang YL,Song WA,Li S,Fu, Lizhen,&Li, Shixin.(2018).Risk Detection of Stroke using a Feature Selection and Classification Method.IEEE Access,6,31899-31907.
MLA Zhang YL,et al."Risk Detection of Stroke using a Feature Selection and Classification Method".IEEE Access 6(2018):31899-31907.
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