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Hadoop-Based Distributed Computing Algorithms for Healthcare and Clinic Data Processing

机译:用于医疗保健和临床数据处理的基于Hadoop的分布式计算算法

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There exit a huge demand on utilizing big data technology to process healthcare related patients data for healthcare information extraction and medical knowledge discovery. In this paper, we briefly review the demands and application potentials using big data technology with an emphasis on common challenges. After briefly addressing the Hadoop/MapReduce code components and modules, we use a simple clinic data to demonstrate how to map and reduce on small dataset with illustrated workflow. We give simple scenario of using other MapReduce calculation modules for counting and classification. This serves as a basic step into future utilization of big data to healthcare domain.
机译:对于利用大数据技术处理与医疗相关的患者数据以获取医疗信息和发现医学知识存在巨大需求。在本文中,我们简要回顾了使用大数据技术的需求和应用潜力,重点是常见的挑战。在简要介绍了Hadoop / MapReduce代码组件和模块之后,我们使用一个简单的临床数据来演示如何使用图示的工作流在小型数据集上进行映射和归约。我们给出了使用其他MapReduce计算模块进行计数和分类的简单方案。这是将来将大数据用于医疗领域的基本步骤。

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