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Symmetry 2017, 9(12), 293; https://doi.org/10.3390/sym9120293

System Framework for Cardiovascular Disease Prediction Based on Big Data Technology

1
Department of Computer Science, College of Electrical and Computer Engineering, Chungbuk National University, Cheongju 28644, Korea
2
Department of Nursing, Woosong College, Daejeon 34518, Korea
3
Department of Biomedical Engineering, College of Medicine, Chungbuk National University, Cheongju 28644, Korea
4
Medical Research Institute, College of Medicine, Chungbuk National University, Cheongju 28644, Korea
*
Authors to whom correspondence should be addressed.
Received: 25 October 2017 / Revised: 24 November 2017 / Accepted: 24 November 2017 / Published: 27 November 2017
(This article belongs to the Special Issue Emerging Approaches and Advances in Big Data)
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Abstract

Amid growing concern over the changing climate, environment, and health care, the interconnectivity between cardiovascular diseases, coupled with rapid industrialization, and a variety of environmental factors, has been the focus of recent research. It is necessary to research risk factor extraction techniques that consider individual external factors and predict diseases and conditions. Therefore, we designed a framework to collect and store various domains of data on the causes of cardiovascular disease, and constructed a big data integrated database. A variety of open source databases were integrated and migrated onto distributed storage devices. The integrated database was composed of clinical data on cardiovascular diseases, national health and nutrition examination surveys, statistical geographic information, population and housing censuses, meteorological administration data, and Health Insurance Review and Assessment Service data. The framework was composed of data, speed, analysis, and service layers, all stored on distributed storage devices. Finally, we proposed a framework for a cardiovascular disease prediction system based on lambda architecture to solve the problems associated with the real-time analyses of big data. This system can be used to help predict and diagnose illnesses, such as cardiovascular diseases. View Full-Text
Keywords: big data; cardiovascular disease; integrated database; prediction system big data; cardiovascular disease; integrated database; prediction system
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Han, S.H.; Kim, K.O.; Cha, E.J.; Kim, K.A.; Shon, H.S. System Framework for Cardiovascular Disease Prediction Based on Big Data Technology. Symmetry 2017, 9, 293.

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