V. Kolosov, N. Bezrukov, Denis Naumov, Yuliy M. Perelman, A. Prikhodko
{"title":"应用自适应神经模糊网络预测支气管哮喘患者渗透性气道高反应性","authors":"V. Kolosov, N. Bezrukov, Denis Naumov, Yuliy M. Perelman, A. Prikhodko","doi":"10.1109/SIBIRCON.2015.7361867","DOIUrl":null,"url":null,"abstract":"The paper discusses the development of decision support systems based on adaptive neuro-fuzzy network to predict the osmotic airway hyperreactivity in patients with bronchial asthma. Static spirography data analysis has been conducted and polymorphism in the TRPV4 gene examined. A prediction system comprising the parts of pre-processing and neuro-fuzzy inference has been developed. A GUI has been implemented for the system. MATLAB is used as the modeling and computation engine.","PeriodicalId":6503,"journal":{"name":"2015 International Conference on Biomedical Engineering and Computational Technologies (SIBIRCON)","volume":"44 1","pages":"130-133"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Prediction of osmotic airway hyperresponsiveness in patients with bronchial asthma using adaptive neuro-fuzzy network\",\"authors\":\"V. Kolosov, N. Bezrukov, Denis Naumov, Yuliy M. Perelman, A. Prikhodko\",\"doi\":\"10.1109/SIBIRCON.2015.7361867\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper discusses the development of decision support systems based on adaptive neuro-fuzzy network to predict the osmotic airway hyperreactivity in patients with bronchial asthma. Static spirography data analysis has been conducted and polymorphism in the TRPV4 gene examined. A prediction system comprising the parts of pre-processing and neuro-fuzzy inference has been developed. A GUI has been implemented for the system. MATLAB is used as the modeling and computation engine.\",\"PeriodicalId\":6503,\"journal\":{\"name\":\"2015 International Conference on Biomedical Engineering and Computational Technologies (SIBIRCON)\",\"volume\":\"44 1\",\"pages\":\"130-133\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Biomedical Engineering and Computational Technologies (SIBIRCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBIRCON.2015.7361867\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Biomedical Engineering and Computational Technologies (SIBIRCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBIRCON.2015.7361867","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prediction of osmotic airway hyperresponsiveness in patients with bronchial asthma using adaptive neuro-fuzzy network
The paper discusses the development of decision support systems based on adaptive neuro-fuzzy network to predict the osmotic airway hyperreactivity in patients with bronchial asthma. Static spirography data analysis has been conducted and polymorphism in the TRPV4 gene examined. A prediction system comprising the parts of pre-processing and neuro-fuzzy inference has been developed. A GUI has been implemented for the system. MATLAB is used as the modeling and computation engine.
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