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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.1
- 수록면
- 1 - 2 (2page)
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In the medical field, a vast amount of raw data is constantly being produced daily. Then, the raw data are gathered to build big data, which are waiting for medical researchers to use it. Since the government and public institutions have started to provide big data for the medical field, a lot of medical papers using them have been published. For example, in the Korean Health Insurance Review and Assessment Service (HIRA, Wonju, Korea), the National Health Insurance Service (NHIS, Wonju, Korea), or the Korean National Health and Nutrition Examination Survey (KNHANES, Cheongju, Korea), huge data are now available. This can be used to analyze the occurrence and trend of diseases. Especially, it is very useful for investigating a disease that cannot be analyzed by single institutional data alone. You can also analyze the risk factors of the disease, the nature of the treatment, and the costs associated with the disease. In addition, because of the enormous amount of data, significant conclusions can be drawn from statistical tests.1,2
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