Neuronanatomy, neurology and Bayesian networks

Bielza Lozoya, Maria Concepcion (2014). Neuronanatomy, neurology and Bayesian networks. In: "8th European Conference on Data Mining (DM2014)", 15-17 Jul 2014, Lisboa.

Description

Title: Neuronanatomy, neurology and Bayesian networks
Author/s:
  • Bielza Lozoya, Maria Concepcion
Item Type: Presentation at Congress or Conference (Other)
Event Title: 8th European Conference on Data Mining (DM2014)
Event Dates: 15-17 Jul 2014
Event Location: Lisboa
Date: 2014
Subjects:
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Bayesian networks are data mining models with clear semantics and a sound theoretical foundation. In this keynote talk we will pinpoint a number of neuroscience problems that can be addressed using Bayesian networks. In neuroanatomy, we will show computer simulation models of dendritic trees and classification of neuron types, both based on morphological features. In neurology, we will present the search for genetic biomarkers in Alzheimer's disease and the prediction of health-related quality of life in Parkinson's disease. Most of these challenging problems posed by neuroscience involve new Bayesian network designs that can cope with multiple class variables, small sample sizes, or labels annotated by several experts.

More information

Item ID: 36279
DC Identifier: http://oa.upm.es/36279/
OAI Identifier: oai:oa.upm.es:36279
Deposited by: Memoria Investigacion
Deposited on: 29 Sep 2015 11:52
Last Modified: 06 Jun 2016 11:52
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