EventsMOL2NET'15, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 1st ed.
Event submissions
Published
with-doi10.3390/MOL2NET-1-F007
This submission belongs to the session 01. CHEMBIO.INFO-01: Cheminfo., Chemom., Comput. Quantum Chem. & Bioinfo. Congress, Cambridge, UK-Chapel Hill and Richmond, USA, 2015 of the event MOL2NET'15, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 1st ed.
Published date
04 Dec, 2015
Citation
Virginia Mato Abad, Cristian Robert Munteanu, Carlos Fernández-Lozano, Alejandro Pazos, AlzPred-SVV: Free Web Tool for Alzheimer Prediction using Spectroscopy Voxel Volume, in Proceedings of MOL2NET'15, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 1st ed., 5 December–15 December 2015, MDPI: Basel, Switzerland, doi: 10.3390/MOL2NET-1-F007
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AlzPred-SVV: Free Web Tool for Alzheimer Prediction using Spectroscopy Voxel Volume

Virginia Mato Abad 1
Cristian Robert Munteanu 2
image
Carlos Fernández-Lozano 2
Alejandro Pazos 2
1. Rey Juan Carlos University
2. RNASA-IMEDIR Group, Faculty of Computer Science, University of A Coruna
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
Manuscript
4-MOL2NET_AlzPred_final.pdf
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