• 대한한의학회지
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• 제23권4호
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• pp.91-97
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• 2002

Objective: This study was conducted to know the survival probability of the patients with cerebrovascular disease. Method: 1,341 patients who were suspected of having cerebrovascular disease clinically were investigated by telephone and NHIC (National Health Insurance Corporation) data. Conclusion: 1. The study population was grouped as 'Negative Brain CT findings' (11.8%), 'Hemorrhage' (12.4%) and 'Infarction' (75.7%). 2. The survival probabilities calculated by the Life Table method were statistically significant among brain CT finding groups (P<0.01). 3. The mean survival time calculated by the Kaplan-Meier method were also statistically significant among brain CT finding groups (P<0.01). 4. The result of Cox regression model was that sex (OR=0.7), age (OR=1.07), diabetes mellitus (OR=1.38), and heart disease (OR=1.69) affected the survival of the patients with cerebrovascular disease.

• Journal of the Korean Statistical Society
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• 제26권2호
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• pp.277-288
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• 1997

For the analysis of survival data including covariates whose effects vary in time, the multiprocess discount survival model is proposed. The parameter vector modeling the time-varying effects of covariates is to vary between time intervals and its evolution between time intervals depends on the perturbation of the next time interval. The recursive estimation of the parameter vector can be obtained at the end of each time interval. The retrospective estimation of the survival function and the forecasting of the survival function of individuals of the specific covariates also can be obtained based on the information gathered until the end of the time interval.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2021년도 봄 학술논문 발표대회
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• pp.203-204
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• 2021

Bacteria used in self-healing concrete, which arrest the crack, helps increasing the durability is well known. However, the survival and activity of the bacteria are precisely unknown. In this research, to know the bacteria's survival curve on the surface of the cement composite, bacteria's survival curve has been measured by CFU at different curing days. The survival curve of 3 days and 7 days curing does not show the significant differences in their survival tendency. However, the slope of death phase of 7 days curing was steeper than the 3 days of curing. This research was focused on the death phase but for further research, set of interval time will be reduced and observe the lag phase and exponential phase.

• Journal of the Korean Data and Information Science Society
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• 제19권2호
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• pp.487-496
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• 2008

Recently survival analysis becomes popular in a variety of fields so that a number of statistical packages are developed for analyzing the survival model. In this paper, several types of survival models are introduced and considered briefly. In addition, widely used three packages(SAS, SPSS, and STATA) for survival data are reviewed and their characteristics are investigated.

• Communications for Statistical Applications and Methods
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• 제4권2호
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• pp.491-496
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• 1997

For the survival data analysis of no covariate the discount survival model is proposed to estimate the time-varying hazard rate and the survival function recursively. In comparison with the covariate case it provide the distributionally explicit evolution of hazard rate between time intervals under the assumption of a conjugate gamma distribution. Also forecasting of the hazard rate in the next time interval is suggested, which leads to the forcecasted survival function.

• Journal of Chest Surgery
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• 제41권5호
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• pp.586-590
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• 2008

배경: 본 연구는 술전 종격동 내시경 혹은 흉강경을 통한 종격동 림프절 생검을 통해 병리조직학적으로 N2 진단을 받고 신보조 항암방사선치료를 받은 환자에 있어서 신보조 항암방사선치료 후 N병기의 변화에 따른 생존률 및 재발률에 미치는 영향에 대해 알아보고자 하였다. 대상 및 방법: 1998년 1월에서 2005년 12월 사이에 조직학적 N2로 확진된 환자 69명을 대상으로 후향적 연구를 진행하였다. 이들을 3그룹으로 나누어 신보조 항암방사선치료 후 병기가 낮아진 환자들을 그룹 A, 변화 없는 환자들을 그룹 B, 그리고 신보조 항암방사선 치료중 병기가 악화되어 수술을 진행하지 못한 환자들을 그룹 C로 구분하여 각 그룹간 평균생존기간, 3년 생존률 및 평균무병생존기간, 3년 무병생존률을 조사하였고 이들을 비교 분석해 보았다. 결과: 연령, 성별, 폐암의 조직형 및 수술명은 그룹별 유의한 차이는 없었다. 평균 생존기간은 그룹 A, B, C에서 각각 58, 47, 21개월로 그룹A가 가장 높았으나 A-B 및 B-C 사이에는 통계적으로 유이한 차이는 없었고 그룹 A와 C 사이에만 통계적으로 유의한 차이(p : 0.01)를 보였다. 3년 생존률 역시 그룹 A, B, C에서 67%, 41%, 21.6%로 평균생존기간과 비슷한 차이를 보였다. 평균무병생존기간은 그룹 A, B에서 44, 45개월로 통계적으로 유의한 차이는 보이지 않았고 3년 무병생존률도 55.1%, 46.8%로 통계적으로 유의한 차이는 보이지 않았다. 결론: IIIa기 폐암 환자에서 술전 항암방사선 치료 후 N병기가 감소된 그룹A에서 감소되지 않은 그룹 B보다 Mean survival, 3-Yr survival rate 및 3-Yr disease-free survival rate가 더 높은 경향을 볼 수 있었다. 그러나 통계학적 유의성은 없었으므로 더 명확한 결론을 위해서는 향후 더 많은 case 및 오랜 기간의 추적관찰이 필요할 것으로 생각된다.

• Journal of Chest Surgery
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• 제20권2호
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• pp.328-341
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• 1987

We reviewed 147 cases of primary carcinoma of the lung between January 1975 and December 1986 at the Thoracic and Cardiovascular Department, Yonsei university College of Medicine, Seoul, Korea. There were 116 males and 31 females with 93.72% ranging in age from 40 to 69 years. The mean age was 61.01 years. To 69 years of age with 61.01 years of mean age. There were 92 [62.59%] cases of squamous cell carcinoma, 29 [19.73%] cases of adenocarcinoma, 8 [5.44%] cases of undifferentiated large cell carcinoma, 8 [5.44%] cases of undifferentiated small cell carcinoma and 10 [6.8%] cases of bronchoalveolar cell carcinoma. 50 [34.01%] patients in stage I and 49 [33.26%] patients in stage II underwent pneumonectomies and lobectomies with a 67.27% rate of resection, where as only 49.12% of stage III patients were resected. Also 7 [30.43%] of the 23 stage IV cases were surgically resected and confirmed stage IV after surgical resection. The actuarial survival rate according to classification are as follows. The one and 3 year survival rate of the patients in stage I were 96% and 84% respectively. The one and `3 year survival rate of the patients in stage II were 100% and 66.6%, whereas the one and 3 year survival rate of the patients in stage III, T3 were 78.57% and 69.84%. The survival rates of patients in stage I, II, III T3 were better than those of the other stages. There were significant differences in observed survival for patients with stage II as compared with the patients with stage Ill, T3. [p=0.0005]. An aggressive surgical approach still offered the greatest chance for long-term survival even in stage Ill, T3. The survival rate in patients with resectable cases including stage III, T3 might be improved with an aggressive surgical approach. The one and 3 year survival rates of patients in stage III, N2 were 56.67% and 43.7 I%. The one and 3 year survival rates of patients in stage IV were 21.43% and 3.57%. Patients in stage III, N2 or IV had markedly decreased survival rates. When the carcinoma cell type was the basis for the determination of rate of survival, the result were as follows; The one, 3 and 5 year survival rates of squamous cell carcinoma were 78.33%, 60.19%, and 57.32%, and the one and 3 year survival rates of adenocarcinoma were 55.56% and 44.49%. The survival rates of large cell carcinoma were 66.67%, and 44.45%, at one, three and five years respectively. The one and 3 year survival rates of bronchoalveolar cell carcinoma were 71.43% and 47.62%, the one, 3 and 5 year survival rates of small cell carcinoma were 40%, 20% and 20%. The survival rate of squamous cell carcinoma was better than that of other cell carcinomas, the survival rate of small cell carcinoma was the worst. The operative mortality rate was 1.36%. There were 10 cases of post-operative complications including 2 cases of bleeding which required further surgery, 2 cases of wound infection, and 4 cases of empyema thoracis. The length of survival of three of the empyema thoracis cases was 16, 98 and 108 months respectively, Four male patients all older than 47 years survived more than 9 years, post surgery, although one developed empyema thoracis. These four cases were initially classified as 2 cases of stage I and one each of stage II and stage III, T3. We have concluded that the survival rates of patients in stages I, II and III, T3 were improved after complete surgical resection.

• Asian Pacific Journal of Cancer Prevention
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• 제17권7호
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• pp.3515-3519
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• 2016

Background: In Thailand, a national treatment protocol for childhood leukemia and lymphoma (LL) was implemented in 2006. Access to treatment has also improved with the National Health Security system. Since these innovations, survival of childhood LL has not been fully described. Materials and Methods: Trends and survival of children under 15 with childhood cancers diagnosed between 1993 and 2012 were investigated using the hospital-based data from the Khon Kaen Cancer Registry, Srinagarind Hospital, Faculty of Medicine, Khon Kaen University, Thailand. Childhood cancers were classified into 12 diagnostic groups, according to the ICCC based on the histology of the cancer. Survival rates were described by period, depending on the treatment protocol. For leukemias and lymphomas, survival was assessed for 3 periods (1993-99, 2000-5, 2006-12) while for solid tumors it was for 2 periods (before and after 2000). The impacts of sex, age, use of the national protocol, and catchment area on leukemia and lymphoma were evaluated. Overall survival was calculated using the Kaplan-Meier method while the Cox proportional hazard model was used for multivariate analysis. Trends were calculated using the R program. Results: A total of 2,343 childhood cancer cases were included. Survival for acute lymphoblastic leukemia (ALL) from 1993-9, 2000-5, and 2006-12 improved significantly (43.7%, 64.6%, and 69.9%). This was to a lesser extent true for acute non-lymphoblastic leukemia (ANLL) (28.1%, 42.0%, and 42.2%). Survival of non-Hodgkin lymphoma (NHL) also improved significantly (44%, 65.5%, and 86.8%) but not for Hodgkin disease (HD) (30.1%, 66.1%, and 70.6%). According to multivariate analysis, significant risk factors associated with poor survival in the ALL group were age under 1 and over 10 years, while not using the national protocol had hazard ratios (HR) of 1.6, 1.3, and 2.3 respectively. In NHL, only non-use of national protocols was a risk factor (HR 3.9). In ANLL and HD, none of the factors influenced survival. Survival of solid tumors (liver tumors, retinoblastomas) were significantly increased compared to after and before 2000 while survival for CNS tumors, neuroblastoma and bone tumors was not changed. Conclusions: The survival of childhood cancer in Thailand has markedly improved. Since implementation of national protocols, this is particularly the case for ALL and NHL. These results may be generalizable for the whole country.

• 한국가축번식학회지
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• 제19권4호
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• pp.265-270
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• 1996

This study was carried out to investigate on the survival rates and in vitro developmental rates of bisected bovine embryos by micromanipulator and micropipette. Bisected embryos were cultured for 1∼5 days in 20% FCS＋TCM-199 medium. Survival rate and in vitro developmental rate were defined as development rate on in vitro culture or FDA-test. The results are summarized as follows ; 1. The survival rates of intact or free zona pellucida of bisected embryos were 30.3 and 25.0%, respectively. And the survival rates of bisected embryos by micromanipulator and micropipette were 33.3 and 26.7%, respectively. The survival rate of bisected embryos was significantly lower than that of non-bisection embryos(65.0%). 2. The survival rates of bisection embryos in cultured for 12, 24, 48, 72 hrs with 20% FCS＋TCM-199 medium were 40.0, 30.0, 23.3 and 13.3%, respectively. 3. The in vitro developmental rates of intact of free zona pellucida of bisected embryos by micromainipulator and micropipettes were 33.3 and 26.7%, respectively. The survival rate of bisection embryos was significantly lower than that of non-bisection embryos(45.0%).

• 한국인공지능학회지
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• 제6권2호
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• pp.11-15
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• 2018

Breast cancer is one of the leading causes of cancer related death among women. So prediction of overall survival status is important into decided in adjuvant treatment. Deep belief network is a kind of artificial intelligence (AI). We intended to construct prediction model by deep belief network using associated clinicopathologic factors. 103881 cases were found in the Korean Breast Cancer Registry. After preprocessing of data, a total of 15733 cases were enrolled in this study. The median follow-up period was 82.4 months. In univariate analysis for overall survival (OS), the patients with advanced AJCC stage showed relatively high HR (HR=1.216 95% CI: 0.011-289.331, p=0.001). Based on results of univariate and multivariate analysis, input variables for learning model included 17 variables associated with overall survival rate. output was presented in one of two states: event or cencored. Individual sensitivity of training set and test set for predicting overall survival status were 89.6% and 91.2% respectively. And specificity of that were 49.4% and 48.9% respectively. So the accuracy of our study for predicting overall survival status was 82.78%. Prediction model based on Deep belief network appears to be effective in predicting overall survival status and, in particular, is expected to be applicable to decide on adjuvant treatment after surgical treatment.