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Abstract
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| Neuroscience faces challenging problems that require new machine learning methods. In this tutorial we will present some real-world examples where Bayesian network models fit after some adaptation. These problems include: (a) neuroanatomy issues, like modeling and simulation of dendritic trees, inferring electrophysiological behavior from morphological neuron characteristics, and classifying neuron and spine types based on morphological features; (b) neurodegenerative diseases, like predicting health-related quality of life in Parkinson's disease, classification of dementia stages in Parkinsonís disease and searching for genetic biomarkers in Alzheimer's disease. | |
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International
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Si |
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Congress
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14th Conference on Artificial Intelligence in Medicine AIME 2013 |
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Entity
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Universidad de Murcia |
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Entity Nationality
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ESPAÑA |
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Place
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Murcia |
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Start Date
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29/05/2013 |
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End Date
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01/06/2013 |