지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.1
- 수록면
- 344 - 354 (11page)
이용수
초록· 키워드
오류제보하기
Objective Suicide is a significant public health concern worldwide. Social media data have a potential role in identifying high suicide risk individuals and also in predicting suicide rate at the population level. In this study, we report an advanced daily suicide prediction model using social media data combined with economic/meteorological variables along with observed suicide data lagged by 1 week. Methods The social media data were drawn from weblog posts. We examined a total of 10,035 social media keywords for suicide prediction. We made predictions of national suicide numbers 7 days in advance daily for 2 years, based on a daily moving 5-year prediction modeling period. Results Our model predicted the likely range of daily national suicide numbers with 82.9% accuracy. Among the social media variables, words denoting economic issues and mood status showed high predictive strength. Observed number of suicides one week previously, recent celebrity suicide, and day of week followed by stock index, consumer price index, and sunlight duration 7 days before the target date were notable predictors along with the social media variables. Conclusion These results strengthen the case for social media data to supplement classical social/economic/climatic data in forecasting national suicide events.
목차
등록된 정보가 없습니다.
참고문헌 (64)
참고문헌 신청
OECD / 2015 / Health at a Glance 2015
임달오 / 2014 / Trends in the Leading Causes of Death in Korea, 1983-2012 / Journal of Korean Medical Science 29(12):1597~1603
Saxena S / 2013 / World health assembly adopts comprehensive mental health action plan 2013-2020 / Lancet 381:1970~1971
Caldwell CB / 1990 / Schizophrenics kill themselves too: a review of risk factors for suicide / Schizophr Bull 16:571~589
Fawcett J / 1987 / Clinical predictors of suicide in patients with major affective disorders: a controlled prospective study / Am J Psychiatry 144:35~40
임달오 / 2014 / Trends in the Leading Causes of Death in Korea, 1983-2012 / Journal of Korean Medical Science 29(12):1597~1603
Saxena S / 2013 / World health assembly adopts comprehensive mental health action plan 2013-2020 / Lancet 381:1970~1971
Caldwell CB / 1990 / Schizophrenics kill themselves too: a review of risk factors for suicide / Schizophr Bull 16:571~589
Fawcett J / 1987 / Clinical predictors of suicide in patients with major affective disorders: a controlled prospective study / Am J Psychiatry 144:35~40
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