Abstract
Generally speaking, healthcare service providers, such as hospitals, maintains a large collection of data. In the last decade, healthcare industry becomes aware that data analytics is a crucial tool to help providing a better services. However, there are several obstacles to prevent a successful deployment of such systems, among them are data quality and system performance. To address the issues, this paper proposes a distributed data-as-a-service framework that help to assure level of data quality and also improve the performance of data analytics. Preliminary evaluation suggests that the proposed system is scale well to large amount of user requests.
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Boonma, P., Natwichai, J., Khwanngern, K., Nantawad, P. (2019). DAHS: A Distributed Data-as-a-Service Framework for Data Analytics in Healthcare. In: Xhafa, F., Leu, FY., Ficco, M., Yang, CT. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 24. Springer, Cham. https://doi.org/10.1007/978-3-030-02607-3_45
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