Abstract
This paper deals with the analysis of neurological disorders. In particular we focus on the potentialities of metadata to support the analysis process. We focus on the analysis of the Alzheimer disease and we show how computer-based analysis of metadata associated with clinical observations may help doctors in understanding clinical stages of a patient. We also introduce a general framework than can help in understanding the hypothetical course of the disease by simulating degeneration of the patient by metadata alteration.
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Acknowledgement
This work was partially supported by the Italian Ministry for Economic Development (MISE) under the project “Smarter Solutions in the Big Data World”, funded within the call “HORIZON2020” PON I&C 2014–2020.
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Cauteruccio, F., Terracina, G. (2018). How Metadata Can Support the Study of Neurological Disorders: An Application to the Alzheimer’s Disease. In: Benczúr, A., et al. New Trends in Databases and Information Systems. ADBIS 2018. Communications in Computer and Information Science, vol 909. Springer, Cham. https://doi.org/10.1007/978-3-030-00063-9_16
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DOI: https://doi.org/10.1007/978-3-030-00063-9_16
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