• Journal of Radiation Protection and Research
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• v.21 no.3
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• pp.175-182
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• 1996

The lifetime fatal radiation-induced cancer for Korean has been estimated for both single and continuous radiation exposure using the BEIR V method. In case of single exposure, the major radiation-induced cancer type for young and old age is digestive and respiratory cancer, respectively. For the whole population of Korean, the major radiation-induced cancer type is digestive cancer. In case of 1mGy/yr continuous exposure from birth to death, the contribution of total radiation-induced cancer mortality to natural cancer mortality is about 3%.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.393-396
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• 2021

폐색전증(Pulmonary Embolism : PE)은 사망률이 높은 질환중 하나이다. 초기에 정확한 진단 및 치료를 시행하는 경우 사망과 재발의 경우가 흔치 않으나 지연 진단이 일어나는 경우 사망률은 높기 때문에 보다 정확하고 빠른 검사법이 필요하다. 본 연구에서는 폐색전증 환자의 흉부 CT 데이터를 가지고 딥러닝 알고리즘을 생성하여 소프트웨어를 구현하고자 한다. 개발된 딥러닝 기반의 폐색전증 진단 보조 소프트웨어는 CT 촬영 후 즉각적인 질환 예측으로 판독 시간의 단축과 효율성을 제공할 것으로 기대된다.

• Tuberculosis and Respiratory Diseases
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• v.62 no.5
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• pp.389-397
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• 2007

Background B-type natriuretic peptide (BNP) has been shown to be strong mortality predictors in a wide variety of cardiovascular syndromes. Little is known about BNP in patients with acute respiratory distress syndrome (ARDS). We studied whether BNP can predict mortality in patients with ARDS. Method Echocardiographic study was done to all patients with ARDS, and we excluded patient with low ejection fraction (less than 50%) or showing any features of diastolic dysfunction. 47 patients were enrolled between December, 2003 and February, 2006. Parameters including BNP were obtained within 24h hours at the time of enrollment. Result Mean BNP concentrations and APACHE II scores differed between the survivors and nonsurvivors (BNP, $219.5{\pm}57.7pg/mL$ vs $492.3{\pm}88.8pg/mL$; p=0.013, APACHE II score, $17.4{\pm}1.6$ vs $23.1{\pm}1.3$, p=0.009, respectively). With the use of the threshold value for BNP of 585 pg/mL, the specificity for the prediction of mortality was 94%. The threshold value for APACHE II of 15.5 showed sensitivity of 87%. 'APACHE II + $11{\times}logBNP$' showed sensitivity 63%, and specificity 82%, using threshold value for 46.14. Conclusion BNP concentrations and APCHE II scores were more elevated in nonsurvivors than survivors in patients with ARDS who have normal ejection fraction. BNP can predict mortality. Further study should be done.

• Journal of Preventive Medicine and Public Health
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• v.32 no.2
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• pp.177-182
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• 1999

Objectives: To reexamine the association between air pollution and daily mortality in Seoul, Korea using a method of meta-analysis with the data filed for 1991 through 1995. Methods: A separate Poisson regression analysis on each district within the metropolitan area of Seoul was conducted to regress daily death counts on levels of each ambient air pollutant, such as total suspended particulates (TSP), sulfur dioxide $(SO_2)$, and ozone $(O_3)$, controlling for variability in the weather condition. We calculated a weighted mean as a meta-analysis summary of the estimates and its standard error. Results: We found that the p value from each pollutant model to test the homogeneity assumption was small (p<0.01) because of the large disparity among district-specific estimates. Therefore, all results reported here were estimated from the random effect model. Using the weighted mean that we calculated, the mortality at a $100{\mu}g/m^3$ increment in a 3-day moving average of TSP levels was 1.034 (95% Cl 1.009-1.059). The mortality was estimated to increase 6% (95% Cl 3-10%) and 3% (95% Cl 0-6%) with each 50 ppb increase for 9-day moving average of SO2 and 1-hr maximum O3, respectively. Conclusions: Like most of air pollution epidemiologic studies, this meta-analysis cannot avoid fleeing from measurement misclassification since no personal measurement was taken. However, we can expect that a measurement bias be reduced in a district-specific estimate since a monitoring station is hefter representative cf air quality of the matched district. The similar results to those from the previous studios indicated existence of health effect of air pollution at current levels in many industrialized countries, including Korea.

• Journal of Chest Surgery
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• v.29 no.9
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• pp.996-1002
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• 1996

From August 1979 to August 1995, 73 consecutive patients with various pulmonary diseases underwent pneumonectomy Underlying diseases were lung cancer(53 cases), pulmonary tuberculosis(10 cases), bronchiectasis(4 cases) and others(6 cases). Operative mortality and complication rate for 73 patients and respiratory capacity for 53 patients at postoperative 6 months were measured, and statistically analysed for the influencing factors. The influencing factors on prognosis included age, sex, pathologic finding (benign or malignant), associated diseases, preoperative pulmonary function test and operation time. The statistically significant factors for operative mortality were preoperative MW(% prep)(P=0.013) and operation time(P=0.009). The factors influencing operative complication was infectious disease (P=0. 015), and for respiratory capacity a postoperative 6 months, preoperative FVC(%. prod) (PED.0018), FEVI(%. prod)(P=0.0024), and MW(%. prod) (P=0.004)) were statistically significant factors. The preoperative FVC(%. tyred), FEVI(% . prod) and MW(%. prod) should be measured exactly. We conclude that preoperative lung function, cardiovascular and nutritional status, postoperative care and infection prevention were important factors to decrease the operative mortality and complication as well as to increase respiratory capacity.

• The Transactions of the Korea Information Processing Society
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• v.13 no.6
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• pp.260-268
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• 2024

Cervical cancer is the fourth most common cancer in women worldwide, and more than 604,000 new cases were reported in 2020 alone, resulting in approximately 341,831 deaths. The Cox regression model is a major model widely adopted in cancer research, but considering the existence of nonlinear associations, it faces limitations due to linear assumptions. To address this problem, this paper proposes ResSurvNet, a new model that improves the accuracy of cervical cancer mortality prediction using ResNet's residual learning framework. This model showed accuracy that outperforms the DNN, CPH, CoxLasso, Cox Gradient Boost, and RSF models compared in this study. As this model showed accuracy that outperformed the DNN, CPH, CoxLasso, Cox Gradient Boost, and RSF models compared in this study, this excellent predictive performance demonstrates great value in early diagnosis and treatment strategy establishment in the management of cervical cancer patients and represents significant progress in the field of survival analysis.

• Clinical and Experimental Pediatrics
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• v.50 no.5
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• pp.443-448
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• 2007

Purpose : To evaluate the potential prognostic value of the antithrombin-III (AT-III) level in the children with acute lung injury (ALI), we analyzed several early predictive factors of death including AT-III level at the onset of ALI and compared the relative risk of them for mortality. Methods : Over a 18-month period, a total of 198 children were admitted to our pediatric intensive care unit and 21 mechanically ventilated patients met ALI criteria, as defined by American-European consensus conference, i.e., bilateral pulmonary infiltrates and $PaO_2/FiO_2$ lower than 300 without left atrial hypertension. Demographic variables, hemodynamic and respiratory parameters, underlying diseases, as well as Pediatric Risk of Mortality-III (PRISM-III) scores and Lung Injury Score (LIS) at admission were collected. AT-III levels were measured within 3 hours after admission. These variables were compared between survivors and non-survivors and entered into a multiple logistic regression analysis to evaluate their independent prognostic roles. Results : The overall mortality rate was 38.1% (8/21). Non-survivors showed lower age, lower lung compliance, higher PEEP, higher oxygenation index (OI), lower arterial pH, lower $PaO_2/FiO_2$, higher PRISM-III score and LIS, and lower AT-III level. PRISM-III score, LIS, OI and decreased AT-III level (less than 70%) were independently associated with a risk of death and the odds ratio of decreased AT-III level for mortality is 2.75 (95% confidence interval; 1.28-4.12) Conclusion : These results suggest that the decreased level of AT-III is an important prognostic factor in children with ALI and the replacement of AT-III may be considered as an early therapeutic trial.

• 한국신재생에너지학회:학술대회논문집
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• 2006.11a
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• pp.138-140
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• 2006

해양 신 재생에너지 개발에 의해 생태계에 미치는 영향을 최소화하기 위한 방안을 모색하기 위하여 환경변화 사례와 예측하였다 해양에너지의 개발은 필수적으로 해양환경 및 생태계에 변화를 초래하여 조력발전시설의 경우 조간대에 서식하는 저서생물의 종다양성을 감소시키고 철새 등의 조류의 종수 및 개체수의 변화를 가져오고 조력 및 조류발전 터빈시설은 수생생물의 기계적 충돌에 의한 사망률을 증가시킨다 이러한 해양 신 재생에너지의 개발과 더불어 생태계의 영향을 최소화하기 위한 조사 및 연구가 병행되어야 개발 후 상용화단계에서 가장 합리적인 자연보전의 방안을 제시하고 지역사회와의 갈등을 최소화 할 수 있는 과학적인 자료를 도출 할 수 있다.

• Journal of the Korea Society for Simulation
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• v.29 no.1
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• pp.11-21
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• 2020

Cardio-cerebrovascular diseases (CCD) account for 24% of the causes of death to Koreans and its proportion is the highest except cancer. Currently, the risk of the cardiovascular disease for domestic patients is based on the Framingham risk score (FRS), but accuracy tends to decrease because it is a foreign guideline. Also, it can't score the risk of cerebrovascular disease. CCD is hard to predict, because it is difficult to analyze the features of early symptoms for prevention. Therefore, proper prediction method for Koreans is needed. The purpose of this paper is validating IG-MLP (Information Gain - Multilayer Perceptron) evaluation based feature selection method using CCD data with simulation. The proposed method uses the raw data of the 4^th ~ 7^th of The Korea National Health and Nutrition Examination Survey (KNHANES). To select the important feature of CCD, analysis on the attributes using IG-MLP are processed, finally CCD prediction ANN model using optimize feature set is provided. Proposed method can find important features of CCD prediction of Koreans, and ANN model could predict more accurate CCD for Koreans.

• The Journal of the Korean life insurance medical association
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• v.25
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• pp.9-24
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• 2006

지속적으로 증가 하고 있는 악성 종양 발병률의 증가, 생존률의 향상, 조기발견의 증가 등이 암 기왕자의 보험 수요 상승을 가져오고 있으며, 보험시장에서 더 이상 암 기왕자를 도외시하기 어렵게 만들고 있다. 그러나, 현재 국내에서는 암 기왕자를 인수할 수 있는 상품과 언더라이팅 인수 기법이 부족한 실정이다. 본 논문은 이러한 상황 하에서 기존에 거절체로 인식되었던 암 기왕자의 적극적인 인수를 위해 악성종양에 대한 보험 의학적인 고찰과 사망률, 위험도에 대해 분석하고, 국내에서 암 기왕자의 보험 인수 시 문제점과 그 해결방안을 모색해 보았다. 종양은 종양세포의 성장과 확산의 정도를 나타내는 병기와 조직학적 등급에 의해 그 예후와 경과가 예측 가능하며, 이 병기를 표준화하려는 국제적 시도로 1977년 American Joint Committee on Cancer(AJCC)는 TNM system 을 제시하였다. 병기를 기초로 치료의 결정도 함께 이루어지는데, 주요 치료법을 수술, 방사선치료, 항암치료, 면역요법이 있다. 이러한 치료법들은 후기 부작용을 일으키거나 이차성 암(Secondary malignant neoplasm)의 원인이 되기도 한다. 병기에 따른 암환자의 사망률을 살펴 보면, 암은 일정시기 동안 사망률이 급격히 증가하다가 이후에 점차 사망률이 감소하고, 그 이후에는 사망률에 영향을 미치지 않는다. 이러한 사망률 변화의 특성은 암 기왕자에게 평준식 정액 할증법(Per mille flat extra)의 적용이 적절함을 보여준다. 그러나, 현재 국내에서는 악성 종양 기왕자를 위한 상품이 전무한 상태이며, 암의 병리적 병기와 치료에 관련된 정보를 얻을 수 있는 도구도 부족하고, 명확한 인수 기법이 없다. 또한, 자체의 경험통계의 부족으로 위험에 대한 부담감이 큰 것이 현실이다. 하지만, 병기에 따른 사망률의 변화에서도 알 수 있듯이 평준식 정액 할증법의 도입이나, 악성종양의 병기(Stage)별 정액 할증률을 삭감법으로 전환하는 기준을 개발한다면, 종신보험은 충분히 인수가 가능하다. 또한, CI 보험도 암에 대한 부담보를 하는 선진사의 인수 기법을 도입하거나, 암 기왕자만을 위한 CI 상품을 개발하는 등 새로운 인수 기법을 모색한다면, 암기왕자 인수의 폭은 넓어질 것이다. 이와 같은 노력과 함께, 언더라이팅의 정보 획득을 위한 암 기왕자만의 고지서를 개발하고, 전문 언더라이터의 양성을 위한 노력을 게을리 하지 않는다면, 암기왕자를 적극적으로 인수할 수 있을 것이다. 앞으로 국내 보험사가 위와 같은 노력을 지속적으로 해 나가고, 비교적 예후와 경과가 양호한 0기와 1기 암 기왕자부터 단계적으로 종신보험의 인수를 시도한다면, 비교적 안전하게 경험치를 축적할 수 있을 것이다. 뿐만 아니라 국내 보험업계는 새로운 시장의 확보와 보험에 대한 대외 이미지 개선이라는 효과도 함께 얻게 될 것이다.