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AlzPred-SVV: Free Web Tool for Alzheimer Prediction using Spectroscopy Voxel Volume
Virginia Mato Abad * 1 , Cristian Robert Munteanu 2 , Carlos Fernández-Lozano 2 , Alejandro Pazos 2
1  Rey Juan Carlos University
2  RNASA-IMEDIR Group, Faculty of Computer Science, University of A Coruna

10.3390/MOL2NET-1-F007
Abstract:

Neuroimaging data from magnetic resonance techniques are widely used as non-invasive biomarkers for the evaluation and early diagnosis of Alzheimer’s Disease (AD). Alzheimer Prediction by Spectroscopy Voxel Volume is a free Web tool to predict the AD diagnosis (AlzPred-SVV: http://bio-aims.udc.es/AlzPredSVV.php). The inputs are two variables related to a voxel acquired in the left hippocampus: The total volume and the volume of CSF contained in the voxel. The classification method is based on Machine Learning techniques. The tool is based on an HTML/PHP user interface with a Python/Java implementation of the model.

Keywords: Magnetic Resonance Spectroscopy; Alzheimer’s Disease; Machine-learning; Single-Layer Perceptron;
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