• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.469-474
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• 2020

This study explains the characteristics of micro-insurance based on the theoretical model of health insurance, such as the low demand of low-income people and the lower demand of higher risk aversion. In particular, these characteristics contradict the existing insurance theory which states that the lower the income, the higher the risk aversion, and the higher the demand for insurance. This study postulates a two-period model focusing on health insurance, contrary to a one-period model assumed in existing studies. As a result, first, we show that the decrease in income leads to a decrease in the preventive effort for illness. Second, we offer a model for micro-insurance in which the individual chooses a partial insurance under an actuarially fair insurance premium, while full insurance is optimal in existing studies. Third, we also show that the insurance demand decreases when the outlook for the future improves. Fourth, we finally show that the lack of trust and default risk of the insurer decrease the insurance demand as risk aversion increases.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.3
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• pp.176-182
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• 2024

In this study, we compared and analyzed various methods of missing data handling to build a machine learning model that can effectively analyze and predict time series data with a high percentage of missing values. For this purpose, Predictive State Model Filtering (PSMF), MissForest, and Imputation By Feature Importance (IBFI) methods were applied, and their prediction performance was evaluated using LightGBM, XGBoost, and Explainable Boosting Machines (EBM) machine learning models. The results of the study showed that MissForest and IBFI performed the best among the methods for handling missing values, reflecting the nonlinear data patterns, and that XGBoost and EBM models performed better than LightGBM. This study emphasizes the importance of combining nonlinear imputation methods and machine learning models in the analysis and prediction of time series data with a high percentage of missing values, and provides a practical methodology.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.5
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• pp.412-418
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• 2015

NHPP software reliability models for failure analysis can have, in the literature, exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, infinite failures NHPP models that repairing software failure point in time reflects the situation, was presented for comparing property. Commonly used in business, economics, and actuarial modeling based on Lomax distribution, software reliability of infinite failures was presented for comparison problem. The result is that a relatively large shape parameter was effectively. The parameters estimation using maximum likelihood estimation was conducted and Model selection was performed using the mean square error and the coefficient of determination. In this research, software developers to identify software failure property follows shape parameter, some extent be able to help is considered.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.8
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• pp.4133-4136
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• 2012

Aim: To report the results of radiotherapy with or without chemotherapy in the patients with oral cancer. Methods: Over the 2003-2009 periods, a total number of 69 patients with squamous cell carcinoma of the oral cavity that refused surgery or had unresectable tumor were enrolled in this study. A total dose of 60 to 70 Gy (2 Gy per day) was given to the primary tumor and clinically positive nodes. In the patients with locoregionally advanced disease (57 patients with $T_3$, $T_4$ lesions and/ or $N^+$) induction chemotherapy following by concomitant chemoradiation was used. Induction chemotherapy consisted of 3 cycles of Cisplatin and 5-Flourouracil with or without Docetaxel. Weekly cisplatin was used in concomitant protocol. Kaplan-Meier method was used to calculate overall survival. Log-rank test and Cox regression model were used for comparison purposes. Results: Median follow-up was 32 months. The mean age of the patients was 59.2 years. The overall response rate after induction chemotherapy was 68.4%. Actuarial overall survival rates after 2 and 3 years were 38% and 26%, respectively. Clinical stage emerged as the only independent predictor of survival. Conclusion: Outcome of the patients with oral cancer is poor. Presenting with an advanced stage lesion contributed to this result. The role of chemotherapy in advanced cases remains to be defined.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.9
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• pp.5043-5047
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• 2013

Background: This is a part of a larger effort to characterize the effects on socio-economic factors (SEFs) on cancer outcome. Surveillance, Epidemiology and End Result (SEER) bone and joint sarcoma (BJS) data were used to identify potential disparities in cause specific survival (CSS). Materials and Methods: This study analyzed SEFs in conjunction with biologic and treatment factors. Absolute BJS specific risks were calculated and the areas under the receiver operating characteristic (ROC) curve were computed for predictors. Actuarial survival analysis was performed with Kaplan-Meier method. Kolmogorov-Smirnov's 2-sample test was used to for comparing two survival curves. Cox proportional hazard model was used for multivariate analysis. Results: There were 13501 patients diagnosed BJS from 1973 to 2009. The mean follow up time (SD) was 75.6 (90.1) months. Staging was the highest predictive factor of outcome (ROC area of 0.68). SEER stage, histology, primary site and sex were highly significant pre-treatment predictors of CSS. Under multivariate analysis, patients living in low income neighborhoods and rural areas had a 2% and 5% disadvantage in cause specific survival respectively. Conclusions: This study has found 2-5% decrement of CSS of BJS due to SEFs. These data may be used to generate testable hypothesis for future clinical trials to eliminate BJS outcome disparities.

• Journal of Chest Surgery
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• v.26 no.1
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• pp.18-23
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• 1993

Improved clinical performance was expected from the introduction of the low-profile model of the Ionescu-Shiley pericardial valve. The long-term clinical results were assessed on the consecutive 47 patients who underwent MVR + AVR with this valve between 1984 and 1988. Three patients died within 30 days of surgery[operative mortality, 6.4%], and 44 early survivors were followed up for a total of 203.8 patient-years [Mean + SD, 4.63 + 1.47 years]. One died during the follow-up with a linearized late mortality of 0.491%/patient~year[pt-yr]. None experienced thromboembolism. Bleeding and endocardiris were seen in each single patient with the incidences of complication of 0.491%/pt-yr respectively. The linearized rate of primary tissue failure [PTF] was 0.491%/pt-yr. The actuarial survival and rate of freedom from PTF were 97.6 _+ 2.4% and 92.6 +7.1% at 7 years of follow-up.These results are favorably comparable with the ones seen in the patients of MVR + AVR with the standard profile lonescu-Shiley valve in all respects except the higher mean age of the low-profile group. Although the clinical performance was compatible with other major reports, the durability of the valve remains to be proved with the prolonged follow-up.

• Journal of the Korean Data and Information Science Society
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• v.24 no.4
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• pp.737-753
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• 2013

Interest rate options embedded in life insurance products provide policyholders with minimum guaranteed rates credited to the corresponding surrender values. This paper discusses current low-interest environment and several types of interest rate options embedded in life insurance products. In addition, this paper shows profit structures of the life insurance products and calculates values of the interest rate options under stochastic interest model and the corresponding VaR (value at risk). Finally, some implications are discussed.

• Journal of the Korean Data and Information Science Society
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• v.25 no.1
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• pp.131-153
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• 2014

The Korean market of pension plans has recently increased and pension plans will be expected to play an important role in the retirement system as complement of the national pension system in the future. However, there are a few of research papers on actuarial projections of pension plans. This paper will discuss a long-term financial projection on defined pension plans using data based on the national pension workplace participants. Previous researches focused on company-based financial projection of pension plan. But, this paper concerns on total Korean pension participants and suggests a method to calculate future financial projection of total pension plans. Finally, this research will suggest several numerical results of normal costs, benefits, numbers of workers, etc.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.3
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• pp.278-284
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• 2016

Software reliability in the software development process is an important issue. In infinite failure NHPP software reliability models, the fault occurrence rates may have constant, monotonic increasing or monotonic decreasing pattern. In this paper, infinite failures NHPP models that the situation was reflected for the fault occurs in the repair time, were presented about comparing property. Commonly, the software model of the infinite failures using the linear hazard rate distribution software reliability based on intercept parameter was used in business economics and actuarial modeling, was presented for comparison problem. The result is that a relatively large intercept parameter was appeared effectively form. The parameters estimation using maximum likelihood estimation was conducted and model selection was performed using the mean square error and the coefficient of determination. The linear hazard rate distribution model is also efficient in terms of reliability because it (the coefficient of determination is 90% or more) in the field of the conventional model can be used as an alternative model could be confirmed. From this paper, the software developers have to consider intercept parameter of life distribution by prior knowledge of the software to identify failure modes which can be able to help.

• The Korean Journal of Applied Statistics
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• v.29 no.1
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• pp.41-59
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• 2016

There have been continuous improvements in human life expectancy. Life expectancy is as a key factor in an aging population and can wreak severe damage on the financial integrity of pension providers. Hence, the projection of the accurate future mortality is a critical point to prevent possible losses to pension providers. However, improvements in future mortality would be overestimated by a typical mortality projection method using the Lee-Carter model since it underestimates the mortality index ${\kappa}_t$. This paper suggests a mortality projection based on the projection of the skewness of the mortality versus the typical mortality projection of the Lee-Carter model based on the projection of the mortality index, ${\kappa}_t$. The paper shows how to indirectly estimate future t trend with the skewness of the mortality and compares the results under each estimation method of the mortality index, ${\kappa}_t$. The analysis of the results shows that mortality projection based on the skewness presents less improved mortality at an elderly ages than the original projection.