Abstract
Within the recent decades, data volume increases exponentially in different industries especially in healthcare field. Extracting the hidden value behind such massive data has become one of the hottest topics for both industry and academy. In this paper, we present an architecture for healthcare big data management and analysis. Under the guidance of the proposed architecture, a prototype system constructed based on HBase, Hive, Spark MLLib and Spark Streaming is introduced for personal health problem detection and real-time vital sign monitoring.
This research is supported under the grant NO.71661167007 of National Natural Science of China.
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Apache Hive. http://hive.apache.org
Apache HBase. http://hbase.apache.org
Apache Spark. http://spark.apache.org
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Gui, H., Zheng, R., Ma, C., Fan, H., Xu, L. (2016). An Architecture for Healthcare Big Data Management and Analysis. In: Yin, X., Geller, J., Li, Y., Zhou, R., Wang, H., Zhang, Y. (eds) Health Information Science. HIS 2016. Lecture Notes in Computer Science(), vol 10038. Springer, Cham. https://doi.org/10.1007/978-3-319-48335-1_17
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DOI: https://doi.org/10.1007/978-3-319-48335-1_17
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