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Title:
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ADVANCED CLASSIFICATION AND PREDICTION OF MIDDLE COGNITIVE IMPAIRMENT TO ALZHEIMERS DISEASE USING MULTI-SOURCE FEATURES |
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Author(s):
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O. Valenzuela, H. Pomares, F. Ortuño, H. Tribak, G. Ruiz-García, F. Estrella, D. Jaramillo, A. Fernandez, F. Hamed, G. Roman and I. Rojas |
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ISBN:
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978-972-8939-93-9 |
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Editors:
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António Palma dos Reis and Ajith P. Abraham |
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Year:
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2013 |
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Edition:
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Single |
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Keywords:
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MRI, Alzheimers disease, SVM, Computational Intelligence. |
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Type:
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Full Paper |
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First Page:
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37 |
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Last Page:
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44 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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There are three main objectives in this paper: the first one is to develop a classification method to tag MR images as either normal or with the Alzheimers disease (AD); the second, which is more ambitious, is the identification and classification in normal subjects, MCI (Middle Cognitive Impairment) patients and AD patients; and finally (and most interesting), the third goal is to classify in Middle Cognitive Impairment Converters (MCI-C, i.e. , people that suffer a MCI and in the future will suffer from Alzheimers disease within 18 months), and Middle Cognitive Impairment Non Converters (MCI-NC, i.e., people that suffer a MCI and in the future will not suffer from Alzheimers disease). It is noteworthy that with this last study we could offer a tool to assist the early diagnosis of dementia. |
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