Abstract
Medical institutions are increasingly aware of the vast amount of available data they have and its potential benefits. These data are being analyzed and shared at institutions all around the world, however, the way the data are stored, managed and secured need for new technological solutions to facilitate its consumption and sharing between institutions. This situation has become a technological challenge for the interoperability, data mining and Big Data fields. Neuroimaging community is one of the most active in looking for effective solutions, like the XNAT project which aims for neuroimaging data acquisition, management and processing. This paper shows the ongoing effort to develop a Semantic Framework to facilitate multidimensional data analysis based on XNAT architecture.
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Reina, S.T., Zamorano, M.R., Bjørnerud, A. (2015). Towards an Integrated Semantic Framework for Neurological Multidimensional Data Analysis. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo-Moreo, F., Adeli, H. (eds) Artificial Computation in Biology and Medicine. IWINAC 2015. Lecture Notes in Computer Science(), vol 9107. Springer, Cham. https://doi.org/10.1007/978-3-319-18914-7_18
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DOI: https://doi.org/10.1007/978-3-319-18914-7_18
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