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호흡기 질환 약물처방정보를 활용한 계절성 독감의 조기 감지
- Kim, Tae Heung;
- Jang, Eun Jin;
- Jung, Sun-Young;
- Yang, Ji-Yeon
초록
This study proposes a new non-clinical surveillance system for seasonal influenza using NHIS-NSC. In particular, we take notice that the symptoms of influenza at early stage of infection are similar to those of respiratory disease, and we aim to detect an early outbreak of influenza by monitoring the activity of non-influenza respiratory disease. Our surveillance system yielded a quite reliable classification result with the average AUROC value above 0.75 and the precision rate above 80%. Furthermore, our system is able to effectively detect an outbreak that can be easily missed by disease control authorities, during the influenza “off-season”. The recall rate, however, is somewhat low, and thus it would be most beneficial to use our surveillance system as a complementary tool for the current surveillance program, not as a stand-alone replacement.
키워드
- 제목
- 호흡기 질환 약물처방정보를 활용한 계절성 독감의 조기 감지
- 제목 (타언어)
- Early detection of seasonal influenza through medical prescriptions of respiratory diseases
- 저자
- Kim, Tae Heung; Jang, Eun Jin; Jung, Sun-Young; Yang, Ji-Yeon
- 발행일
- 2018-03
- 저널명
- 한국데이터정보과학회지
- 권
- 29
- 호
- 2
- 페이지
- 391 ~ 402
- 언어
- KOR
- 출판사
- 한국데이터정보과학회
- 발행국가
- 대한민국
- 분량
- 12 페이지
- ISSN
- P 1598-9402