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Cloud Computing Model for Analyzing Antibiotic Usage from the National Health Insurance Research Database

机译:云计算模型分析国家健康保险研究数据库的抗生素用途

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摘要

In the past two decades, due to Taiwans national insurance policy, a substantial amount of medical and patient records have been stored in a large database. From this database, much important medical knowledge has been discovered; however, with the rapid growth of database size, it takes an increasingly long time to process queries on the database, even rather simple queries. We, therefore, propose a cloud computing model to process large volumes of medical data by using a Hadoop ecosystem. From our experimental results, we conclude that our proposed model can achieve significant speedup over traditional database systems, such as MySQL.
机译:在过去二十年中,由于台湾国民保险单,大量的医疗和患者记录已经存放在一个大型数据库中。从这个数据库中,已经发现了很多重要的医学知识;然而,随着数据库大小的快速增长,需要越来越长的时间来处理数据库上的查询,即使是简单的查询。因此,我们提出了一种云计算模型来使用Hadoop生态系统处理大量的医疗数据。从我们的实验结果来看,我们得出的结论是,我们所提出的模型可以在传统数据库系统中实现显着加速,例如MySQL。

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