TítuloClassification of mild cognitive impairment and Alzheimer’s Disease with machine learning techniques using 1H Magnetic Resonance Spectroscopy data
Texto completo
Figure
Documento similar
Specifically, we implemented a deep learning (DL) model that could detect left- and right-hand motor imagery with an accuracy of 98.9%, using data from several users and with 20
The recent exponential growing of machine learning techniques (data-mining, deep-learning, manifold learning, linear and nonlinear regression techniques ... to cite but a few) makes
For adults with normal cognition or mild cognitive impairment, are physical activity interventions more effective than usual care or no intervention in reducing the risk of
Udina C, Avtzi S, Mota-Foix M, Rosso AL, Ars J, Kobayashi Frisk L, Gregori-Pla C, Durduran T and Inzitari M (2022) Dual-task related frontal cerebral blood flow changes in older
dst host count número de conexiones del host destino numérico dst host srv count número de conexiones del host destino * numérico dst host same srv rate % de uso del mismo servicio
Incidence of dementia and probable Alzheimer´s disease in a general population: The Framingham study.. Hendiré H., Ogunniyi A.,
Even though most of the studies specified the validation method, which constituted a good practice, it should be noted that it was not specified for all models whether the
In patients with mild cognitive impairment (MCI) or dementia treated in memory clinics, 44.7% were taking anticholinergic drugs, with 11.7% receiving a high anticholinergic load