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

2015 International Conference on Biomedical Engineering and Computational Technologies (SIBIRCON) Pub Date : 2015-10-01 DOI:10.1109/SIBIRCON.2015.7361867

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}

引用次数: 7

摘要

本文讨论了基于自适应神经模糊网络的支气管哮喘患者渗透性气道高反应性预测决策支持系统的开发。进行了静态肺活量分析，并检测了TRPV4基因的多态性。开发了一个由预处理和神经模糊推理两部分组成的预测系统。已经为系统实现了GUI。采用MATLAB作为建模和计算引擎。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2015 International Conference on Biomedical Engineering and Computational Technologies (SIBIRCON)

自引率

0.00%

发文量