A Hadoop/MapReduce based platform for supporting health big data analytics

被引：1

作者：

Kuo, Alex ^{[1
]}

Chrimes, Dillon ^{[2
]}

Qin, Pinle ^{[3
]}

Zamani, Hamid ^{[1
]}

机构：

[1] School of Health Information Science, University of Victoria, Victoria,BC, Canada

[2] Vancouver Island Health Authority, Victoria,BC, Canada

[3] Faculty of Big Data, North University of China, Shanxi, China

来源：

Studies in Health Technology and Informatics | 2019年 / 257卷

关键词：

Data Analytics - Health - Benchmarking - Hospital data processing - File organization;

D O I：

10.3233/978-1-61499-951-5-229

中图分类号：

学科分类号：

摘要：

In this paper, we report our practical experience in designing and implementing a platform with Hadoop/MapReduce framework for supporting health Big Data Analytics. Three billion of emulated health raw data was constructed and cross-referenced with data profiles and metadata based on existing health data at the Island Health Authority, BC, Canada. The patient data was stored over a Hadoop Distributed File System to simulate a presentation of an entire health authority's information system. Then, a High Performance Computing platform called WestGrid was used to benchmark the performance of the platform via several data query tests. The work is important as very few implementation studies existed that tested a BDA platform applied to patient data of a health authority system. © 2019 American Psychological Association Inc. All rights reserved.

引用

页码：229 / 235

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