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2018 | OriginalPaper | Chapter

A Keyword-Based Big Data Analysis for Individualized Health Activity Using Keyword Analysis Technique: A Methodological Approach Using National Health Data

Authors : SangDo Lee, Hoanh-Su Le, Jun-Ho Huh

Published in: Advances in Computer Science and Ubiquitous Computing

Publisher: Springer Singapore

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Abstract

The emergence of Big Data due to spread of the 21st century digital economy can provide a clue to the solution of the problems in our society and economy. Especially, one of the areas where Big Data can be highly useful is the medical and health industry. The development of IT is leading a new era of innovation in the field of medicine as well. Nevertheless, the level of Big Data application in this field is still low as the unstructured data included in Big Data are difficult to search and gather their statistics so that there have been some limits in utilizing it widely. The merit of Big Data is that it can present a variety of meaningful results depending on the data collection and analysis methods. Thus, in this study, a Big Data has been created for text mining by using the crawling technique and analyzed with R Studio, followed by its visualization to devise an individualized health plan with different perspectives.

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Metadata
Title
A Keyword-Based Big Data Analysis for Individualized Health Activity Using Keyword Analysis Technique: A Methodological Approach Using National Health Data
Authors
SangDo Lee
Hoanh-Su Le
Jun-Ho Huh
Copyright Year
2018
Publisher
Springer Singapore
Book
Advances in Computer Science and Ubiquitous Computing

Print ISBN: 978-981-10-7604-6

Electronic ISBN: 978-981-10-7605-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7605-3_197