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INFFUS
2008
68views more  INFFUS 2008»
13 years 2 months ago
An ensemble based data fusion approach for early diagnosis of Alzheimer's disease
As the number of the elderly population affected by Alzheimer's disease (AD) rises rapidly, the need to find an accurate, inexpensive and non-intrusive diagnostic procedure t...
Robi Polikar, Apostolos Topalis, Devi Parikh, Debo...
BMEI
2008
IEEE
13 years 10 months ago
Performance Evaluation and Fusion of Methods for Early Detection of Alzheimer Disease
The number of people that develop Alzheimer’s Disease (AD) is rapidly rising, while the initial diagnosis and care of AD patients typically falls on non-specialist and still tak...
Brahim Hamadicharef, Cuntai Guan, Emmanuel C. Ifea...
KDD
2008
ACM
213views Data Mining» more  KDD 2008»
14 years 4 months ago
Heterogeneous data fusion for alzheimer's disease study
Effective diagnosis of Alzheimer's disease (AD) is of primary importance in biomedical research. Recent studies have demonstrated that neuroimaging parameters are sensitive a...
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng ...
ICASSP
2010
IEEE
13 years 4 months ago
Quantifying EEG synchrony using copulas
In this paper, we consider the problem of quantifying synchrony between multiple simultaneously recorded electroencephalographic signals. These signals exhibit nonlinear dependenc...
Satish G. Iyengar, Justin Dauwels, Pramod K. Varsh...
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
14 years 4 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...