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Title: GaNEn: a new gating neural ensemble for automatic assessment of the severity level of dementia using neuropsychological tests
Authors: Suárez Araujo, Carmen Paz 
García Báez, Patricio 
Fernández Viadero, Carlos
UNESCO Clasification: 120304 Inteligencia artificial
3201 Ciencias clínicas
Keywords: Neural network ensembles
Gating neural networks
GDS, et al
Issue Date: 2010
Conference: 2010 5th International Conference on Broadband and Biomedical Communications, IB2Com 2010 
Abstract: Dementia is one of the associated diseases to aging most prevalents. An important issue about this neuropathology, as of yet unsolved, is the absence of therapeutic tools that manage or stop its progression and symptoms in a constant and supported way. In the present study, we propose a new computational intelligent tool to diagnose the Severity Level of Dementia (SLD) using gating neural network and neural ensemble approaches. We present a gating neural ensemble (GaNEn). This system is a new formulation of a neural network ensemble, where the gating neural network takes part in the combination strategy of ensemble system, and the main expert module in its construction is a HUMANN-S (Supervised HUMANN (Hybrid Unsupervised Modular Artificial Neural Network)) architecture. GaNEn is characterized by an incremental capacity concerning missing data management and their influence in the final diagnosis. It improves previous computational solutions and obtains higher accuracy diagnosis. The GaNEn system is a significant achievement in the medical diagnosis of neurological disorders because it could aid in the design of pharmaco-therapeutic strategies to contain dementia. It is also capable of supplying the best neuropsychological scales for dementia severity grades. We have explored its ability using a battery of neuropsychological tests from people with Alzheimer type dementia (AD), Vascular type dementia (VD) and other dementia type (OD) like Trauma, Subcortical, Parkinson and Infectious, from the Alzheimer's Association of Gran Canaria.
ISBN: 978-1-4244-6951-2
DOI: 10.1109/IB2COM.2010.5723615
Source: 2010 5th International Conference on Broadband and Biomedical Communications, IB2Com 2010 (5723615)
Appears in Collections:Actas de congresos
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