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首页> 外文期刊>Information Resources Management Journal >A Cloud Framework Design for A Disease Symptom Self-inspection Service
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A Cloud Framework Design for A Disease Symptom Self-inspection Service

机译：一种疾病症状自检服务的云框架设计

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摘要

The establishment of a symptom self-inspection service faces will face many challenges related to how to best acquire, store, and analyze the available data. In view of the problems, a cloud framework symptom self-inspection service model is proposed in this article. A Hadoop cluster is set up to store massive medical data and provide indexing so as to produce acceptable electronic medical record search response times. A cluster of the distributed search nodes based on Lucene can be used for real-time retrieval, data analysis, and privacy filtering from a massive collection of electronic medical records. The implementation of symptom check-up services is discussed, including the selection of search nodes, the establishment of medical records index files, the ranking and sorting of medical records similarity. Experimental results demonstrate that our proposed cloud framework model serves as a scalable and effective self-inspection health symptom service.
机译：症状自我检查服务中心的建立将面临与如何最佳地获取，存储和分析可用数据有关的许多挑战。针对这些问题，本文提出了一种云框架症状自检服务模型。 Hadoop集群被设置为存储大量医疗数据并提供索引，以产生可接受的电子医疗记录搜索响应时间。基于Lucene的分布式搜索节点的集群可用于从大量电子病历中进行实时检索，数据分析和隐私过滤。讨论了症状检查服务的实现，包括搜索节点的选择，病历索引文件的建立，病历相似性的排序和排序。实验结果表明，我们提出的云框架模型可作为可扩展且有效的自我检查健康症状服务。

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