• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1189-1198
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• 2015

For the effects of the global financial crisis cause hedge funds to have a strong influence on financial markets, it is needed to study new approach method to predict hedge fund survival. This paper proposes to organize fuzzy neural network using hedge fund data as input to predict hedge fund survival. The variables of hedge fund data are ambiguous to analyze and have internal uncertainty and these characteristics make it challenging to predict their survival from the past records. The object of this study is to evaluate the predictability of fuzzy neural network which uses grades of membership to predict survival. The results of this study show that proposed system is effective to predict the hedge funds survival and can be a desirable solution which helps investors to support decision-making.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.2
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• pp.1-9
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• 2023

Research using AI and big data is also being actively conducted in the health and medical fields such as disease diagnosis and treatment. Most of the existing research data used cohort data from research institutes or some patient data. In this paper, the difference in the prediction rate of survival and the factors affecting survival between breast cancer patients in their 40~50s and other age groups was revealed using health insurance review claim data held by the HIRA. As a result, the accuracy of predicting patients' survival was 0.93 on average in their 40~50s, higher than 0.86 in their 60~80s. In terms of that factor, the number of treatments was high for those in their 40~50s, and age was high for those in their 60~80s. Performance comparison with previous studies, the average precision was 0.90, which was higher than 0.81 of the existing paper. As a result of performance comparison by applied algorithm, the overall average precision of Decision Tree, Random Forest, and Gradient Boosting was 0.90, and the recall was 1.0, and the precision of multi-layer perceptrons was 0.89, and the recall was 1.0. I hope that more research will be conducted using machine learning automation(Auto ML) tools for non-professionals to enhance the use of the value for health insurance review claim data held by the HIRA.

• The Korean Journal of Applied Statistics
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• v.35 no.1
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• pp.35-47
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• 2022

The receiver operating characteristic (ROC) curve was developed to quantify the classification ability of marker values (covariates) on the response variable and has been extended to survival data with diverse missing data structure. When survival data is understood as binary data (status of being alive or dead) at each time point, the ROC curve expressed at every time point results in time-dependent ROC curve and time-dependent area under curve (AUC). In particular, a follow-up study brings the change of cohort and incomplete data structures such as censoring and competing risk. In this paper, we review time-dependent ROC estimators under several contexts and perform simulation to check the performance of each estimators. We analyzed a dementia dataset to compare the prognostic power of markers.

• Tuberculosis and Respiratory Diseases
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• v.49 no.2
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• pp.179-188
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• 2000

Background : The decision to institute mechanical ventilation for patients with COPD is very difficult. The accurate information regarding weaning success and long-term survival will improve communication with patients and family and enhance informed consent. The aims of this study are to describe outcomes and identify variables associated with survival for patients experiencing mechanical ventilation with an acute respiratory failure of COPD. Methods : The 53 cases of mechanical ventilation in the intensive care unit in the National Medical Center from 1989 to 1998 were included. Data were collected retrospectively from medical records. Weaning success rate and 3 month and 1 year survival rates were estimated. Factors associated with weaning success and survival were determined. Results : Weaning sucess was 55%. For success group with 29 cases, 3 months survival rate was 61% and 1 year survival rate 37%. APACHE II scores in weaning success group were significantly lower than those in the failure group. Factors such as age, sex, comorbid-illnes. previous steroid use, causes of respiratory failure, RVH or arrhythmia on EKG, serum albumin level, arterial blood pH, $PaO_2$, $PaCO_2$, $FEV_1$ duration of mechanical ventilation and steroid use during mechanical ventilation were not associated with weaning success. Only age and serum albumin level were associated with 3 month and 1 year survival. No COPD patients of age more than 75 years and serum albumin level less than 3g/dl had survived at 1 year after weaning success. Conclusion : While weaning success from mechanical ventilation can be predicted by APACHE II score in COPD patients, long-term outcomes of survivors may be influenced by nutritional status and age.

• Proceedings of the KSR Conference
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• 2006.11b
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• pp.624-630
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• 2006

This paper studies a modeling to demonstrate predicted reliability of the train control system components by performing an accelerated stress test. There are two tests for demonstrating predicted reliability; test run at the whole system level, and accelerated life test and accelerated stress test at the component level. In this paper, we imposed accelerated stress on the system and studied the train control system modeling for the accelerated stress test, which demonstrates predicted reliability according to whether or not the equipment is operating. Reliability of train control system consisting of electronic components varies drastically according to temperature so we considered the Arrhenius equation and the activation energy of electronic components. We also used reliability modeling with weighted average and calculated time necessary to complete the accelerated stress test on train control system.

• Journal of Hospice and Palliative Care
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• v.15 no.2
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• pp.99-107
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• 2012

Purpose: Most terminally ill cancer patients die from cancer anorexia-cachexia syndrome. This study evaluated a prognostic role of plasma leptin levels in terminally ill cancer patients. Methods: This study enrolled 69 terminally ill cancer patients who were aged above 20 years old from July 2009 to July 2010. For univariate analysis, an association between leptin levels and patient's characteristics or other variables was examined using Spearman's correlation analysis, Wilcoxon's rank-sum test or Kruskal-Wallis test, as appropriately. For multivariable analysis, Cox's proportional hazard regression model was used to evaluate a clinical significance of plasma leptin levels as a prognostic factor and to determine factors which affect the risk of death in terminally ill cancer patients. Results: A statistically significant positive correlation between plasma leptin levels and survival time was found. Univariate Cox's proportional hazard regression analyses also showed a moderately significant association between plasma leptin levels and survival time. However, after adjusting variables for sex, white blood cell counts, total bilirubin, AST, ALT, albumin and CRP levels, plasma leptin levels were not significantly associated with survival time. Conclusion: No significant association was found between plasma leptin levels and survival time in terminally ill cancer patients. However, this study suggested a prognostic value of plasma leptin levels in gastrointestinal cancer patients.

• The Journal of the Korea Contents Association
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• v.20 no.5
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• pp.291-302
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• 2020

Korean popular music industry, which is lead by "Idol group", has forsaken their fandom all over the world. Therefore, idol groups has become not only an artist but also the most influential people in the Korean economy. A global idol group with a strong fandom can earn more than a trillion-dollar by attracting their global fan's interest in Korea. In other words, it is considerably important to carry the idol to a successful conclusion. This study tries to expect whether the idols can be survived or not at a certain point after their debut by ANN, Decision Tree, Random Forest. We decide that certain point as the three-year and eight-year after their debut, because it is their break-even point year and the year after their average renewal of the contract. In addition, this study also explains which feature is the most important to their survival by feature importance and Logistic regression. In conclusion, features like the number of idol competitors, the number of debut members and the number of the genre are significant. These results shed light on the efficient management of K-Pop idol to improve industrial competitiveness.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.11
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• pp.3465-3472
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• 2009

The aims of this study is to medical record data warehouse which had been collected from hospital information systems. continuous patient 2,118 60.5%, informally patient 1,385 39.5%. In using survival factors sex, age, area, insurance, admission-course, medical treatment, out-patient lesson, out-patient form, conference diagnosis, operation, cancer, medical reservation. As a result of making a predictive modeling using the logistic regression, the fitness of the predictive modeling of informally patient was 66.0% and neural network, the predictive was 66.72% and CHAID, the predictive was 63.25%, which is a data mining. The expected modeling of the informally patients, the hospital through the continuous patient management and trust of hospital.

• Korea journal of population studies
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• v.35 no.2
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• pp.55-72
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• 2012

Few studies have done on the intergenerational relations of married women and their own parents in Japan. This study approaches the topic by examining coresidence and contact frequency between generations. The study expects the likelihood of living together (including living next door) and the extent of contact would differ by the characteristics of woman, her husband, children, her brothers and sisters, her own parents and parents-in-law. From the 2003 Survey for National Family Research in Japan, selected are 853 currently married women in their 30s and 40s whose parent and parents-in-law are alive. The analysis shows that the likelihood of living together with parents decreases as the number of brothers and sisters increases. In particular, the presence of brother substantially decreases the likelihood. Having father only alive (vs. having both parents alive) also increases the likelihood. The frequency of contact with parents is conditioned by the coresidence with parents-in-law. It also differs by the level of education and its gap between spouses. Subjective evaluation of husband's attitude toward her parents is important. As in the case of living together, the number of brothers and sisters and the survival status of parents are significant in explaining the frequency of contact with her parents. The results indicate that number of brothers and sisters as well as widowhood of parents serves as its demographic condition. The findings that the frequency of contact with parent are affected by coresidene with parents-in-law, education gap between spouses and husband's attitude toward her parents suggest that the relationship of married women with her own parents are conditioned by her husband and his parents.

• Magazine of the Korea Concrete Institute
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• v.14 no.1
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• pp.32-36
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• 2002

지식, 정보 및 문화의 시대인 21세기는 변화하는 환경에 얼마나 빨리 적응하고, 나아가 변화를 유도하느냐에 따라 기술인의 성공여부가 좌우될 것이다. 건설 시장에서도 WTO의 출범으로 무한 경쟁 시대를 맞이하고 있으며, 세계 경제의 통합이 점점 가속화되는 지금, 우리나라의 건설산업과 기술인이 생존하고 발전하기 위해서는 미래에 대한 예측과 대비, 그리고 세계화(globalization) 등 환경 변화에 대한 빠른 적응이 무엇보다 중요하다고 하겠다.(중략)