Cargando…
Classifying Cognitive Profiles Using Machine Learning with Privileged Information in Mild Cognitive Impairment
Early diagnosis of dementia is critical for assessing disease progression and potential treatment. State-or-the-art machine learning techniques have been increasingly employed to take on this diagnostic task. In this study, we employed Generalized Matrix Learning Vector Quantization (GMLVQ) classifi...
Autores principales: | Alahmadi, Hanin H., Shen, Yuan, Fouad, Shereen, Luft, Caroline Di B., Bentham, Peter, Kourtzi, Zoe, Tino, Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112260/ https://www.ncbi.nlm.nih.gov/pubmed/27909405 http://dx.doi.org/10.3389/fncom.2016.00117 |
Ejemplares similares
-
Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease
por: Giorgio, Joseph, et al.
Publicado: (2020) -
The Modulatory Effect of Cerebrovascular Burden in Response to Cognitive Stimulation in Healthy Ageing and Mild Cognitive Impairment
por: Bentham, Charlotte, et al.
Publicado: (2019) -
Problems in Classifying Mild Cognitive Impairment (MCI): One or Multiple Syndromes?
por: Díaz-Mardomingo, María del Carmen, et al.
Publicado: (2017) -
Profile of Cognitive Complaints in Vascular Mild Cognitive Impairment and Mild Cognitive Impairment
por: Gu, Jenny, et al.
Publicado: (2013) -
Searching for optimal machine learning model to classify mild cognitive impairment (MCI) subtypes using multimodal MRI data
por: Jitsuishi, Tatsuya, et al.
Publicado: (2022)