Classification of Alzheimer's Disease with Respect to Physiological Aging with Innovative EEG Biomarkers in a Machine Learning Implementation

F. Vecchio; F. Miraglia; F. Alù; M. Menna; E. Judica; M. Cotelli; P.M. Rossini

doi:10.3233/JAD-200171

Classification of Alzheimer's Disease with Respect to Physiological Aging with Innovative EEG Biomarkers in a Machine Learning Implementation

F. Vecchio, F. Miraglia, F. Alù, M. Menna, E. Judica, M. Cotelli, P.M. Rossini

IRCCS San Raffaele Pisana

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1339-1349
Number of pages	11
Journal	Journal of Alzheimer's Disease
Volume	75
Issue number	4
DOIs	https://doi.org/10.3233/JAD-200171
Publication status	Published - 2020

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10.3233/JAD-200171

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084799322&doi=10.3233%2fJAD-200171&partnerID=40&md5=d810071fac0b7c1dd17857c1e3abac62

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Classification of Alzheimer's Disease with Respect to Physiological Aging with Innovative EEG Biomarkers in a Machine Learning Implementation. / Vecchio, F.; Miraglia, F.; Alù, F.; Menna, M.; Judica, E.; Cotelli, M.; Rossini, P.M.

In: Journal of Alzheimer's Disease, Vol. 75, No. 4, 2020, p. 1339-1349.

Research output: Contribution to journal › Article › peer-review

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