首页> 外文会议>2015 International Conference on Biomedical Engineering and Computational Technologies >Prediction of osmotic airway hyperresponsiveness in patients with bronchial asthma using adaptive neuro-fuzzy network
【24h】

Prediction of osmotic airway hyperresponsiveness in patients with bronchial asthma using adaptive neuro-fuzzy network

机译:自适应神经模糊网络预测支气管哮喘患者的渗透气道高反应性

获取原文
获取原文并翻译 | 示例

摘要

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.
机译:本文讨论了基于自适应神经模糊网络的决策支持系统的开发,以预测支气管哮喘患者的渗透性气道反应过度。进行了静态呼吸描记数据分析并检查了TRPV4基因的多态性。已经开发了包括预处理和神经模糊推理各部分的预测系统。已经为系统实现了GUI。 MATLAB被用作建模和计算引擎。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号