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http://dx.doi.org/10.6109/jkiice.2019.23.11.1337

Implementation of Disease Search System Based on Public Data using Open Source  

Park, Sun-ho (Department of BioMedical Engineering, Ajou University)
Kim, Young-kil (Department of BioMedical Engineering, Ajou University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.23, no.11, 2019 , pp. 1337-1342 More about this Journal
Abstract
Medical institutions face the challenge of securing competitiveness among medical institutions due to the rapid spread of ICT convergence, and managing data that is growing at an enormous rate due to the emergence of big data and the emergence of the Internet of Things. The big data paradigm of the medical community is not just about large data or tools and processes for processing and analyzing it, but also means a computerized shift in the way people live, think and study. As the medical data is recently released, the demand for the use of medical data is increasing. Therefore, the research on disease detection system based on public data using open source that can help rational and efficient decision making was conducted. As a result of the experiment, unlike a simple disease inquiry or a symptom inquiry about a single disease provided by a public institution, related diseases are searched by a symptom or a cause.
Keywords
Disease search; KOSTOM; KOICD; KCD; Elastic stack;
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