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A classifier fusion strategy to improve the early detection of neurodegenerative diseases
2015
International Journal of Artificial Intelligence and Soft Computing
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Many believe that the early detection of neurodegenerative diseases will provide a much more sustainable framework for dealing with age-related diseases in the future. ...
This approach is compared with base level classifiers (a single classification algorithm) using a set of feature vectors associated with gait patterns obtained from neurodegenerative patients and healthy ...
This technique has also been used by Acar et al. (2007) in studies on epileptic seizures. ...
doi:10.1504/ijaisc.2015.067525
fatcat:kdj3zz2y2rekhdvwyxflmax454
Early Detection of Neurodegenerative Diseases from Bio-Signals: A Machine Learning Approach
2016
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This technique has also been used by Acar et al., in studies on epileptic seizures [98] . ...
Part I is based on the discrimination analysis of gait signals of different NDD patients while Part II represents the analysis of EEG signals of Alzheimer's patients as well as control subjects. ...
doi:10.24377/ljmu.t.00004566
fatcat:hjntjbn2n5du7o55j72ixmh5vi