EEG-Based Classification Between Individuals with Mild Cognitive Impairment and Healthy Controls Using Conformal Kernel-Based Fuzzy Support Vector Machine
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s40815-021-01186-8.pdf
Reference57 articles.
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3. Petersen, R.C., Lopez, O., Armstrong, M.J., Getchius, T.S.D., Ganguli, M., Gloss, D., et al.: Practice guideline update summary: Mild cognitive impairment: Report of the Guideline Development, Dissemination, and Implementation Subcommittee of the American Academy of Neurology. Neurology 90(3), 126–135 (2018)
4. Ward, A., Tardiff, S., Dye, C., Arrighi, H.M.: Rate of conversion from prodromal Alzheimer’s disease to Alzheimer’s dementia: a systematic review of the literature. Dement. Geriatr. Cogn. Disord. Extra 3(1), 320–332 (2013)
5. Rodakowski, J., Saghafi, E., Butters, M.A., Skidmore, E.R.: Non-pharmacological interventions for adults with mild cognitive impairment and early stage dementia: An updated scoping review. Mol. Aspects Med. 43, 38–53 (2015)
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