Abstract
m-Health services are increasing its presence in our lives due to the high penetration of new smartphone devices. This new scenario proposes new challenges in terms of information accessibility that require new paradigms which enable the new applications to access the data in a continuous and ubiquitous way, ensuring the privacy required depending on the kind of data accessed. This paper proposes an architecture based on cloud computing paradigms in order to empower new m-Health applications to enrich their results by providing secure access to user data.
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Fernandez-Llatas, C., Pileggi, S.F., Ibañez, G., Valero, Z., Sala, P. (2015). Cloud Computing for Context-Aware Enhanced m-Health Services. In: Fernández-Llatas, C., García-Gómez, J. (eds) Data Mining in Clinical Medicine. Methods in Molecular Biology, vol 1246. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-1985-7_10
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DOI: https://doi.org/10.1007/978-1-4939-1985-7_10
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