Cargando…
A Real-Time Clinical Decision Support System, for Mild Cognitive Impairment Detection, Based on a Hybrid Neural Architecture
Clinical procedure for mild cognitive impairment (MCI) is mainly based on clinical records and short cognitive tests. However, low suspicion and difficulties in understanding test cut-offs make diagnostic accuracy being low, particularly in primary care. Artificial neural networks (ANNs) are suitabl...
Autores principales: | Suárez-Araujo, Carmen Paz, García Báez, Patricio, Cabrera-León, Ylermi, Prochazka, Ales, Rodríguez Espinosa, Norberto, Fernández Viadero, Carlos, Neuroimaging Initiative, for the Alzheimer's Disease |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257364/ https://www.ncbi.nlm.nih.gov/pubmed/34257699 http://dx.doi.org/10.1155/2021/5545297 |
Ejemplares similares
-
Multimodal MRI-based imputation of the Aβ+ in early mild cognitive impairment
por: Tosun, Duygu, et al.
Publicado: (2014) -
Structural Brain Imaging Phenotypes of Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD) Found by Hierarchical Clustering
por: Kärkkäinen, Mikko, et al.
Publicado: (2020) -
Use of Deep-Learning Genomics to Discriminate Healthy Individuals from Those with Alzheimer's Disease or Mild Cognitive Impairment
por: Li, Lanlan, et al.
Publicado: (2021) -
Classification of Alzheimer's and MCI Patients from Semantically Parcelled PET Images: A Comparison between AV45 and FDG-PET
por: Nozadi, Seyed Hossein, et al.
Publicado: (2018) -
Topological Measurements of DWI Tractography for Alzheimer's Disease Detection
por: Amoroso, Nicola, et al.
Publicado: (2017)