Analysis of Medical Data Using the Big Data and R
It is medical and health industry that Big Data is most valued. However, Big Data has not been actively introduced in the domestic medical field. In this respect, the present study was aimed to use R, which is an analyzing tool of Big Data, to promote var
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Abstract( It is medical and health industry that Big Data is most valued. However, Big Data has not been actively introduced in the domestic medical field. In this respect, the present study was aimed to use R, which is an analyzing tool of Big Data, to promote various business models in health and medical field, and to analyze medical data of diseases and genetic information so Big Data can be utilized in the field. In this study, SGA consortium electrocardiogram data was used, which is database of ECG-ViEW provided in http://egcview.org. R was used to analyze the medical Big Data from various angles. RStudio Version 0.98.1103 was used as R tool to perform association rule analysis, outlier diagnosis and simple regression analysis with ECG-ViEW data. Keywords Big data · ECG · RStudio · Medical data
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Introduction
Recently, Big Data is drawing a keen attention from the world as a solution to economic and social pending issues. Being interlocked with the rapid spread of smart device infrastructure, the development of Big Data management and technology and the advancement of public awareness, the foundation for using Big Data has already been well established in the world. As smart devices equipped with various sensors spread, it became to collect comprehensive micro data such as individual’s life and environment. In addition, as the price of data storage device and cost of communication are rapidly declining, operational capability and dada analysis methods by a computer are also rapidly growing [1, 2]. G. Choi Graduate School of Information Industry, Halla University, Wonju, Kangwon, Korea K. Lee · D. Seo · S. Kim · D. Kim · Y. Lee() Department of Computer Engineering, Halla University, Wonju, Kangwon, Korea e-mail: [email protected] © Springer Science+Business Media Singapore 2015 D.-S. Park et al. (eds.), Advances in Computer Science and Ubiquitous Computing, Lecture Notes in Electrical Engineering 373, DOI: 10.1007/978-981-10-0281-6_121
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In the meantime, Big Data has not been actively introduced in the domestic medical field. As Electronic Medical Record (ERM) system was introduced and expanded, major general hospitals have to enter standard data in Data Warehouse, so it is very limited to analyzing and using bulky data. In addition, the nonstandard data that medical staffs input in the electronic chart are hard to search and use for statistical purpose. Furthermore, as healthcare industry shifted its focus on medical service from treatment to prevention and health management, the medical service for forecasting the chance of disease incidence, personalized medical service have been more important. On the other hand, such data as physical checkup, diseases, EMR, and genome analysis, which are collected by bio-sensing and medical imaging technology, have rapidly been cumulated [3,4]. Accordingly, this paper study used R, which is an analyzing tool of Big Data, to promote various business models in healthcare industry, and to analyze medical data of diseases and genetic information s
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