首页    期刊浏览 2024年10月07日 星期一
登录注册

文章基本信息

  • 标题:Alzheimer's disease Detection using Data Mining Techniques, MRI Imaging, Blood-Based Biomarkers and Neuropsychological tests
  • 本地全文:下载
  • 作者:Ali pourAghdamPedram ; Maryam Khademi
  • 期刊名称:Research Journal of Recent Sciences
  • 电子版ISSN:2277-2502
  • 出版年度:2015
  • 卷号:4
  • 期号:4
  • 页码:32-37
  • 语种:English
  • 出版社:International Science Community Association
  • 摘要:Finding a cure for Alzheimer's disease has been facing many challenges due to the lack of reliable biomarkers for detection and prediction of risk. Fluid based biomarkers provide some criteria for identification of the disease's current stage in patients. But these markers are not reliable predictors for disease progression or response to treatment; also most of these markers are tested in cerebrospinal fluid which reduces the applicability of the method, significantly. The main purpose of this paper is to describe research surveys in effects of blood-based biomarkers and diagnostic imaging in AD, using data mining techniques.
  • 关键词:AD (Alzheimer's disease);CSF (Cerebrospinal Fluid);blood-based biomarker;mild cognitive impairment;data mining;SVM (support vector machine);feature vector
国家哲学社会科学文献中心版权所有