首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于多维筛分类器的可视化帕金森病诊断
引用本文:张涛,洪文学,李铭婷,赵勇,孟辉.基于多维筛分类器的可视化帕金森病诊断[J].燕山大学学报,2010,34(2):180-184.
作者姓名:张涛  洪文学  李铭婷  赵勇  孟辉
作者单位:1. 燕山大学信息科学与工程学院,河北秦皇岛,066004;燕山大学电气工程学院,河北秦皇岛,066004
2. 燕山大学电气工程学院,河北秦皇岛,066004
3. 秦皇岛海港医院,河北秦皇岛,066000
基金项目:国家自然科学基金资助项目(60904100)
摘    要:针对目前基于模式识别的语音障碍帕金森病诊断可解释性差、可推广性差的问题,本文提出基于多维筛分类器的可视化帕金森病诊断。该分类器具有全程可视化的特点,在保证诊断精度的同时,可以将特征进行可视化表示。可视化的引入不但使操作者了解不同特征对于诊断的重要性,而且可以发现最具诊断价值的特征,有助于简化帕金森病的诊断过程并提高诊断水平。

关 键 词:多维筛  帕金森病  可视化模式识别  知识发现  

Visual Parkinson's Disease diagnose based on VCC
ZHANG Tao ,HONG Wen-xue ,LI Ming-ting ,ZHAO Yong ,MENG Hui.Visual Parkinson''s Disease diagnose based on VCC[J].Journal of Yanshan University,2010,34(2):180-184.
Authors:ZHANG Tao    HONG Wen-xue  LI Ming-ting  ZHAO Yong  MENG Hui
Institution:1. College of Information Engineering;Yanshan University;Qinhuangdao;Hebei 066004;China;2. College of Electrical Engineering;3. Haigang Hospital of Qinhuangdao;Hebei 066000;China
Abstract:The Parkinson's Disease (PD) based on speech features in classical pattern recognition is intrinsically deficient in explainable and generation. In this paper, the visual combing classifier (VCC) is introduced to the diagnose of PD. The VCC is characteristic of visualization throughout the procedure. As a result of that, the features are visualized as the necessary precision is guaranteed. Introducing the visualization make users understand each features' contribution in diagnosis and emerge the most value ...
Keywords:VCC  Parkinson's disease  visual pattern recognition  knowledge discovery  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号