Data streams quality evaluation for the generation of alarms in health domain

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Abstract

In this paper we present a proposal for managing data streams from sensors that are installed in patients’ homes in order to monitor their health. It focuses on processing the sensors data streams taking into account data quality. In order to achieve this, a data quality model for this kind of data streams and an architecture for the monitoring system are proposed. Besides, our work induces a mechanism for avoiding false alarms generated by data quality problems.

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APA

Fagúndez, S., Fleitas, J., & Marotta, A. (2015). Data streams quality evaluation for the generation of alarms in health domain. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9051, pp. 204–210). Springer Verlag. https://doi.org/10.1007/978-3-319-20370-6_16

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