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With many theoretical and technological obstacles in health big data processing, it is hard to transfer data into successful and valuable applications. Meeting the Challenge of handling big data in healthcare information construction procedure, this paper proposes a referential architecture on the platform solution to overcome the problems in tremendous of healthcare big data process. Based on the proposed architecture a prototype has been built for healthcare big data analysis. Taking statistical analysis in administrator decide supporting service as an example, this paper tests the running performance and demonstrating effect of the prototype system for healthcare big data processing based on Spark.
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Stored only when both papers are in the corpus — 11 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.