• Journal of agricultural medicine and community health
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• v.45 no.4
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• pp.235-244
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• 2020

Objectives: Gyeongsangbuk-do has entered a super-aged society with 20.7% of the population aged 65 and older. As of April 30, 2020, the death rate of COVID-19(3.8 people) in Gyeongsangbuk-do is higher than the national mortality rate (2.3 people), and the fatality rate of COVID-19 by age accounts for more than half of the total of 58.6%, so it is time to propose to prevent infectious diseases in the event of additional infectious disease disasters COVID-19. Methods: We collected daily data on the number of confirmed cases and deaths due to COVID-19 from 19 February to 30 April 2020. The data collected was evaluated using the SPSS 21.0 statistical package. Results: As a result of comparing the incidence and death-related factors of confirmed patients in Gyeongsangbuk-do, there were significant differences in age group (p<0.001), underlying disease (p<0.001), and residence type (p<0.033). Conclusion: Factors affecting the mortality rate of confirmed patients in Gyeongsangbuk-do have been combined with individual level factors(age, gender, underlying disease), which means individual characteristics that have existed since before the disease, and regional level factors(Type of Residence), which are external factors that enable the use of medical resources. Therefore, each local government is required to establish preventive measures considering individual and regional level factors.

• The Korean Journal of Applied Statistics
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• v.17 no.3
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• pp.431-443
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• 2004

For the purpose of disease mapping, we consider the four small area estimation techniques to estimate the mortality rate of small areas; direct, Empirical estimation with total moment estimator and local moment estimator, Estimation based on hierarchial generalized linear model. The estimators are compared by empirical study based on lung cancer mortality data from 2000 Annual Reports on the Cause of Death Statistics in Gyeongsang-Do and Jeonla-Do published by Korean National Statistical Office. Also he stability and efficiency of these estimators are investigated in terms of mean square deviation as well as variation of estimates.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.517-520
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• 2010

본 연구의 목적은 지방 환자의 거주지 입원과 서울 입원의 퇴원시 사망률을 비교하여 치료결과를 파악함으로써 향후의 효과성 분석을 위한 기초 자료를 제시하는데 있다. 2005년, 2008년도 환자조사 자료 중 지방거주 환자 자료 333,280건과 419,873건을 연구대상으로 하였으며, 자료분석은 기술통계, 카이제곱 검정, 로지스틱 회귀분석을 실시하였다. 퇴원시 사망에 영향을 미치는 요인에 대해 연도, 성, 보험유형, 의료기관유형, 입원경로, 내원경위, 주진단, 거주지의 효과를 통제한 후 살펴본 결과 거주지 입원환자의 퇴원시 사망률이 서울 입원환자에 비해 2.2배 높은 것으로 나타났다. 암환자의 경우도 효과를 통제한 후 퇴원시 사망률을 살펴본 결과 거주지 입원환자의 사망률이 서울 입원환자에 비해 3.4 배 높게 나타났다. 정부는 지역주민의 의료의 접근성을 높이기 위해 의료공급량의 확충과 분배보다는 지역의료의 질적수준을 향상시키는 방향으로 정책을 펼쳐야 한다.

• Korea journal of population studies
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• v.26 no.1
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• pp.1-30
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• 2003

This paper attempts to explore the effects of ecological and socioeconomic factors on the level of mortality and the changing trends of such effects during the period of 1990∼2000. For this purpose the population census data and micro-data from the vital statistics for years 1990, 1995 and 2000 were used. As indicators of mortality, the crude death rate(CDR), the standardized death rate(SDR) and the longevity rate were calculated for 170 'Si' s and 'Gun's. Using GIS, this paper first presents the mortality and longevity maps for years 1990, 1995 and 2000. Then ANOVA and regression analyses are carried out in an effort to generalize the effects of ecological and socioeconomic factors on the CDR, the SDR and the longevity rate. When the mortality and longevity maps are examined, three indices of mortality are found to be markedly high in the southwest coastal regions of Cholla-Nam-Do. By contrast, Seoul and Pusan metropolitan areas show substantially low level of mortality and longevity in these indices. It is also found that the regional differentials in the SDR and the longevity rate show a trend of becoming smaller after 1990. The research, however, does not find any linear relationship between the SDR and the longevity rate. The causal mechanisms of the two indices are found to be different. The results of the ANOVA and the regression analysis reveal that the locational factors of both mountainous and farming regions tend to increase the CDR and SDR while both coastal and farming regions disclose a tendency of increasing the longevity rate. The level of statistical significance of these analytical results is found to be weaker when socioeconomic factors such as education, income, marital status, availability of medical care, and sanitary conditions of the region are taken into account. The regional differentials in the mortality level seem to have a clear relationship not only with the socioeconomic factors but also with the age structure influenced by the age selectivity of migration during the past 40 years.

• Environmental Analysis Health and Toxicology
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• v.20 no.2 s.49
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• pp.133-141
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• 2005

다양한 유해오염물질에 급성 노출된 단각류 Monocorphium acherusicum의 노출 기간 이후에 발생하는 지연 사망(latent mortality)이 반수치사농도(LC5O)산출에 어떤 영향을 미치는 지를 규명하기 위한 일련의 실험이 수행되었다. 본 연구에서는 실험생물을 카드뮴, 구리, 수은과 같은 중금속, tributyltin(TBT), 암모니아 그리고 방향성탄화수소인 phenanthrene에 각각 96시간 동안 노출시킨 후 깨끗한 해수에 옮겨 다시 6일 동안 배양하면서 사망률을 조사하였다. 실험결과 구리, TBT, 암모니아, phenanthrene과 같은 물질에 노출된 M. acherusicum의 사망률은 노출이 끝난 이후에도 계속적으로 증가하는 지연 사망이 관찰되었으며, 이에 따라 기존의 방법_으로 산출된 96-h LC50보다 지연 사망을 고려한 새로운 LC50이 크게 낮아지는 경향이 관찰되었다. 지연사망률을 고려하지 않은 기존의 독성시험 결과는 지연 사망의 영향을 반영하지 못하므로 실제 현장에서 발생할 수 있는 오염물질의 영향을 과소평가 할 가능성이 있다. 따라서 지연 사망률에 대한 고려는 실제 현장 개체군에 대한 유해오염물질의 영향을 보다 정화하게 예측하는 데에 활용될 수 있을 것이다.

• Spatial Information Research
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• v.20 no.6
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• pp.23-32
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• 2012

This study applied an exploratory analysis based on Self Organizing Map and GIS to cause specific age-standardized regional death rates data related to ten types of male cancers to find meaning patterns in the data. Then the patterns revealed from the exploratory analysis was evaluated to investigate possible relationship between these patterns and regional socio-economic status represented by regional educational attainment levels of head of household. The results from this analysis show that SI-GUN-GUs in Korea can be clustered to eighteen unique clusters in the stand point of male cancer death rates and these clusters are also spatially clustered. Also, the results reveal that regions with higher socio-economic status show lower level of the death rates compared with the regions with lower socio-economic status. However, for some cancer types, the regions with higher socio-economic status show relatively higher death rates. These patterns imply that the prevention, detection, and treatment of male cancers might be strongly affected by regional factors such as socio-economic status, environmental factors, and cultures and norms in Korea. Especially, one of the eighteen clusters, which includes Gangnam-Gu and Seocho-Gu, shows lower death rates in many of male cancer types. This implies that socio-economic status may be one of the most influential factors for regional cancer control.

• Journal of Yeungnam Medical Science
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• v.14 no.2
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• pp.293-313
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• 1997

이상에서 고찰하였듯이 현재까지는 어느 하나로 결정할 만한 선별 검사 방법이 없지만, 그 중에서 경질 초음파 검사와 color-flow Doppler 초음파 검사가 시행하기가 쉬우면서 민감하고 비교적 특이도가 높은 방법이라고 할 수 있다. 그러나 역학적인 면에서 조기 진단 혹은 선별 검사의 효율은 검사의 시행과 그에 따른 처치에 의해 사망률이 실제로 감소되었을 때 유의하다고 할 수 있으며, 이런 면에서 아직까지 난소암으로 인한 사망률을 감소시킬 만한 결정적인 선별 검사 방법은 알려져 있지 않다. 사망률이 1/3 감소되었음을 확인하는데 100,000명의 선별 검사자와 100,000명의 대조군이 필요하므로 앞으로 보다 많은 인구를 대상으로 한 역학적인 연구가 필요하다. 앞으로의 선별 검사에는 보다 특이도가 높은 종양 표지 물질의 개발, 초음파를 비롯한 진단 기기의 혁신적인 발달이 필요하며 이는 현재까지의 발전 상황으로 보아 실제로 가능할 것으로 생각된다. 이와 더불어 돌연변이를 일으킨 난소 상피 세포가 수 차례의 분열만 일으키더라도 그 유전자 산물을 검색해 낼 수 있고, 나아가서는 DNA 진단까지 가능한 분자 생물학적 혹은 세포 유전학전 진단 방법의 개발과 이용도 기대된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.7
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• pp.3138-3148
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• 2011

This present study is designed to analyze the mortality and potential years of life lost (PYLL) by malignant neoplasm of lung between OECD countries and Korea before and after the year 2000. We used the methods of Wilcoxon Singed Ranks Test between korean and other 30 OECD countries between 1993-1999 and 2000-2006 year using 2009 OECD Health data(2010) of 30 contries. At the results, the mortality of lung cancer in male korean was significantly increased after 2000 year whereas those in other 23 countries decreased. The mortalities in female were increased in 20 countries including Korea. PYLL in male and female korean were significantly decreased and male PYLL in other 26 countries was decreased, but female PYLL in other countries showed various patterns; increase in 12 countries and decrease in 3 countries. Therefore, the present study elucidated that the lung cancer-induced PYLL in the comparison between korean and OECD countries can be more important parameter.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.7
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• pp.2515-2521
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• 2010

The aim of this study is to analyze the mortality and potential years of life lost (PYLL) by malignant neoplasm of lung between OECD countries and Korea. Based on the result, we tried to point out a problem on mortality caused malignant neoplasm of lung to make the best strategy for policy and education on public health. Using the ANOVA analysis between Korean and OECD countries, the lung cancer-induced mortality and PYLL in total and gender-specific Korean population were greater after 21th century than before. In particular, the PYLL was sharply elevated than the mortality. Taken together, the present study indicated that the lung cancer-induced PYLL between Korean and OECD countries can be more important parameter.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.10
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• pp.309-316
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• 2020

We predict the mortality of the elderly patients visiting the emergency department who are over 65 years old using Feed Forward Neural Network (FFNN) and Convolutional Neural Network (CNN) respectively. Medical data consist of 99 features including basic information such as sex, age, temperature, and heart rate as well as past history, various blood tests and culture tests, and etc. Among these, we used random forest to select features by measuring the importance of features in the prediction of mortality. As a result, using the top 80 features with high importance is best in the mortality prediction. The performance of the FFNN and CNN is compared by using the selected features for training each neural network. To train CNN with images, we convert medical data to fixed size images. We acquire better results with CNN than with FFNN. With CNN for mortality prediction, F1 score and the AUC for test data are 56.9 and 92.1 respectively.