Improving the classification performance of amnestic MCI using multiple neuropsychological scales
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Weidong Xu | Yong Yang | Zhiqiang Jiang | Jiong Zhou | Jiong Zhou | Zhiqiang Jiang | Weidong Xu | Yong Yang
[1] A. Mitchell,et al. A meta-analysis of the accuracy of the mini-mental state examination in the detection of dementia and mild cognitive impairment. , 2009, Journal of psychiatric research.
[2] Arcot Sowmya,et al. Classification of Mild Cognitive Impairment Subtypes using Neuropsychological Data , 2016, ICPRAM.
[3] James A. Mortimer,et al. Brain Infarction and the Clinical Expression of Alzheimer Disease-Reply , 1997 .
[4] E. Tangalos,et al. Mild Cognitive Impairment Clinical Characterization and Outcome , 1999 .
[5] Xiongwei Zhu,et al. In Memoriam: Mark A. Smith, PhD , 2011 .
[6] F. Azuaje,et al. Multiple SVM-RFE for gene selection in cancer classification with expression data , 2005, IEEE Transactions on NanoBioscience.
[7] B. Moore. Principal component analysis in linear systems: Controllability, observability, and model reduction , 1981 .
[8] S. Madeira,et al. Discriminating Alzheimer ’ s Disease from Mild Cognitive Impairment using Neuropsychological Data , 2012 .
[9] W. Markesbery,et al. Brain infarction and the clinical expression of Alzheimer disease. The Nun Study. , 1997, JAMA.
[10] W. Markesbery,et al. Brain infarction and the clinical expression of Alzheimer disease. , 1997, JAMA.
[11] Thorsten Joachims,et al. Making large scale SVM learning practical , 1998 .
[12] M. Prince,et al. World Alzheimer Report 2015 - The Global Impact of Dementia: An analysis of prevalence, incidence, cost and trends , 2015 .
[13] J. Price,et al. Mild cognitive impairment represents early-stage Alzheimer disease. , 2001, Archives of neurology.