• 제목/요약/키워드: Public Dataset

검색결과 241건 처리시간 0.024초

Deep learning framework for bovine iris segmentation

  • Heemoon Yoon;Mira Park;Hayoung Lee;Jisoon An;Taehyun Lee;Sang-Hee Lee
    • Journal of Animal Science and Technology
    • /
    • 제66권1호
    • /
    • pp.167-177
    • /
    • 2024
  • Iris segmentation is an initial step for identifying the biometrics of animals when establishing a traceability system for livestock. In this study, we propose a deep learning framework for pixel-wise segmentation of bovine iris with a minimized use of annotation labels utilizing the BovineAAEyes80 public dataset. The proposed image segmentation framework encompasses data collection, data preparation, data augmentation selection, training of 15 deep neural network (DNN) models with varying encoder backbones and segmentation decoder DNNs, and evaluation of the models using multiple metrics and graphical segmentation results. This framework aims to provide comprehensive and in-depth information on each model's training and testing outcomes to optimize bovine iris segmentation performance. In the experiment, U-Net with a VGG16 backbone was identified as the optimal combination of encoder and decoder models for the dataset, achieving an accuracy and dice coefficient score of 99.50% and 98.35%, respectively. Notably, the selected model accurately segmented even corrupted images without proper annotation data. This study contributes to the advancement of iris segmentation and the establishment of a reliable DNN training framework.

기혼직장여성의 가족적 지지가 우울증에 미치는 영향 (Effects of Family Support on Depression among Married Working Women)

  • 이화진;서은경;정유림;남인숙;한삼성
    • 보건의료산업학회지
    • /
    • 제9권2호
    • /
    • pp.69-79
    • /
    • 2015
  • This study examined the relationship between family support and symptom of depressive among married working women, using the dataset of the Korean Longitudinal Survey of Women & Family (KLoWF 4th). There were 1,875 subjects. A multiple regression model was used to study the association between family support and symptom of depressive, controlling for economic-socio characteristics, health status and health behavior. Additionally, this study ran three subgroup regression models based on hierarchical model. From the results, there was a negative relationship between marriage happiness (b=-0.369, p<0.001), spouse satisfaction (b=-0.143, p=0.010), frequency of meeting with the wife's family (once a month: b=-0.952, p=0.012) and symptom of depressive (model 3). This negative relationship was also seen in the two subgroup regression models (models 1, and 2). The results of this study show the importance of family support for promoting mental health among married working women.

Discovering Gene-Environment Interactions in the Post-Genomic Era

  • Naidoo, Nirinjini;Chia, Kee-Seng
    • Journal of Preventive Medicine and Public Health
    • /
    • 제42권6호
    • /
    • pp.356-359
    • /
    • 2009
  • In the more than 100 genome wide association studies (GWAS) conducted in the past 5 years, more than 250 genetic loci contributing to more than 40 common diseases and traits have been identified. Whilst many genes have been linked to a trait, both their individual and combined effects are small and unable to explain earlier estimates of heritability. Given the rapid changes in disease incidence that cannot be accounted for by changes in diagnostic practises, there is need to have well characterized exposure information in addition to genomic data for the study of gene-environment interactions. The case-control and cohort study designs are most suited for studying associations between risk factors and occurrence of an outcome. However, the case control study design is subject to several biases and hence the preferred choice of the prospective cohort study design in investigating geneenvironment interactions. A major limitation of utilising the prospective cohort study design is the long duration of follow-up of participants to accumulate adequate outcome data. The GWAS paradigm is a timely reminder for traditional epidemiologists who often perform one- or few-at-a-time hypothesis-testing studies with the main hallmarks of GWAS being the agnostic approach and the massive dataset derived through large-scale international collaborations.

중·고령자의 배우자 만족도와 우울증과의 관련성 (An Association between Spouse Satisfaction and Depressive Symptom among the Middle-aged and Elderly Couples)

  • 한삼성;정성화;강성욱
    • 보건의료산업학회지
    • /
    • 제7권1호
    • /
    • pp.59-68
    • /
    • 2013
  • This study examined the relationship between spouse satisfaction and depressive symptom among the middle-aged and elderly couples, using dataset of the Korean Longitudinal Study of Ageing(KLoSA). The subjects were 6,652 persons aged 45 and over who were living with their spouse. A multiple regression model was used to study an association between spouse satisfaction and depressive symptom, controlling for socio-economic characteristics, health status and behavior, and social support. Also, this paper run three subgroup regression models based on age of subjects (45~54, 55~64, 65 and over), controlling for confounding variables. Authors found that there was negative relationship between spouse satisfaction and depressive symptom (b=-0.022, p<0.0001). This negative relationship was also shown in three subgroup regression models. This study suggested the importance of spouse support for promoting mental health among the middle-aged and elderly couples.

Factors Related to Regional Variation in the High-risk Drinking Rate in Korea: Using Quantile Regression

  • Kim, Eun-Su;Nam, Hae-Sung
    • Journal of Preventive Medicine and Public Health
    • /
    • 제54권2호
    • /
    • pp.145-152
    • /
    • 2021
  • Objectives: This study aimed to identify regional differences in the high-risk drinking rate among yearly alcohol users in Korea and to identify relevant regional factors for each quintile using quantile regression. Methods: Data from 227 counties surveyed by the 2017 Korean Community Health Survey (KCHS) were analyzed. The analysis dataset included secondary data extracted from the Korean Statistical Information Service and data from the KCHS. To identify regional factors related to the high-risk drinking rate among yearly alcohol users, quantile regression was conducted by dividing the data into 10%, 30%, 50%, 70%, and 90% quantiles, and multiple linear regression was also performed. Results: The current smoking rate, perceived stress rate, crude divorce rate, and financial independence rate, as well as one's social network, were related to the high-risk drinking rate among yearly alcohol users. The quantile regression revealed that the perceived stress rate was related to all quantiles except for the 90% quantile, and the financial independence rate was related to the 50% to 90% quantiles. The crude divorce rate was related to the high-risk drinking rate among yearly alcohol users in all quantiles. Conclusions: The findings of this study suggest that local health programs for high-risk drinking are needed in areas with high local stress and high crude divorce rates.

일배체형에 기초한 연쇄분석의 통계학적 알고리즘 연구 (Statistical Algorithm in Genetic Linkage Based on Haplotypes)

  • 김진흠;강대룡;이윤경;신선미;서일;남정모
    • Journal of Preventive Medicine and Public Health
    • /
    • 제37권4호
    • /
    • pp.366-372
    • /
    • 2004
  • Objectives : This study was conducted to propose a new transmission/disequilibrium test(TDT) to test the linkage between genetic markers and disease-susceptibility genes based on haplotypes. Simulation studies were performed to compare the proposed method with that of Zhao et al. in terms of type I error probability and powers. Methods : We estimated the haplotype frequencies using the expectation-maximization(EM) algorithm with parents genotypes taken from a trio dataset, and then constructed a two-way contingency table containing estimated frequencies to all possible pairs of parents haplotypes. We proposed a score test based on differences between column marginals and their corresponding row marginals. The test also involved a covariance structure of marginal differences and their variances. In simulation, we considered a coalescent model with three genetic markers of biallele to investigate the performance of the proposed test under six different configurations. Results : The haplotype-based TDT statistics, our test and Zhao et al.'s test satisfied a type I error probability, but the TDT test based on single locus showed a conservative trend. As expected, the tests based on haplotypes also had better powers than those based on single locus. Our test and that of Zhao et al. were comparable in powers. Conclusion : We proposed a TDT statistic based on haplotypes and showed through simulations that our test was more powerful than the single locus-based test. We will extend our method to multiplex data with affected and/or unaffected sibling(s) or simplex data having only one parent s genotype.

한국과 일본 장기요양시설 공급과 이용의 지역 간 변이 (Variations and Factors Associated with the Supply and Utilization of Nursing Home Services in Japan and South Korea)

  • 김홍수;윤난희;이세윤
    • 보건행정학회지
    • /
    • 제30권1호
    • /
    • pp.100-111
    • /
    • 2020
  • Background: Few studies have examined the performance of the public long-term care insurance (LTCI) from the perspective of geographic equity. This study investigated regional variations and associated factors in the supply and utilization of nursing home care within and also between Japan and Korea. Methods: A comparative dataset was developed by extracting data from 2013-2015 LTCI statistics yearbooks and Organization for Economic Cooperation and Development regional statistics, as well as other comparable data in Japan and Korea. The unit of analysis was the prefecture in Japan and the province in Korea. We computed variation indices and conducted regression analyses for regional variations within each country and decomposition analyses to examine the variations between the countries. Results: The overall regional supply and use of nursing home care were higher in Japan, but the regional variations in Korea were larger than in Japan. In both countries, the nursing home supply was negatively associated with the proportion of older people with independent living. Nursing home use was also negatively associated with the supply of hospital beds and home care agencies in Korea; the relationship was the opposite in Japan, however. The country-based differences were more likely to be explained by differences in the distributions of the variables included in the analytical model than country-specific characteristics. Conclusion: Regional-level nursing home supply and use were unequal in both countries, and the contributing factors were not the same. Policy efforts are needed to advance regional equality in long-term care (LTC) and collaboration between health and LTC institutions for frail older people, especially in Korea.

Poor People and Poor Health: Examining the Mediating Effect of Unmet Healthcare Needs in Korea

  • Kim, Youngsoo;Kim, Saerom;Jeong, Seungmin;Cho, Sang Guen;Hwang, Seung-sik
    • Journal of Preventive Medicine and Public Health
    • /
    • 제52권1호
    • /
    • pp.51-59
    • /
    • 2019
  • Objectives: The purpose of this study was to estimate the mediating effect of subjective unmet healthcare needs on poor health. The mediating effect of unmet needs on health outcomes was estimated. Methods: Cross-sectional research method was used to analyze Korea Health Panel data from 2011 to 2015, investigating the mediating effect for each annual dataset and lagged dependent variables. Results: The magnitude of the effect of low income on poor health and the mediating effect of unmet needs were estimated using age, sex, education level, employment status, healthcare insurance status, disability, and chronic disease as control variables and self-rated health as the dependent variable. The mediating effect of unmet needs due to financial reasons was between 14.7% to 32.9% of the total marginal effect, and 7.2% to 18.7% in lagged model. Conclusions: The fixed-effect logit model demonstrated that the existence of unmet needs raised the likelihood of poor self-rated health. However, only a small proportion of the effects of low income on health was mediated by unmet needs, and the results varied annually. Further studies are necessary to search for ways to explain the varying results in the Korea Health Panel data, as well as to consider a time series analysis of the mediating effect. The results of this study present the clear implication that even though it is crucial to address the unmet needs, but it is not enough to tackle the income related health inequalities.

대학생의 자살생각에 영향을 미치는 요인 - 위험 및 완화요인을 중심으로 - (Factors Affecting Suicide Ideation among University Students)

  • 라채린;이창진;서주연;최지희;유명순
    • 보건교육건강증진학회지
    • /
    • 제30권1호
    • /
    • pp.1-11
    • /
    • 2013
  • Objectives: This study aimed to investigate life stressors and mitigating factors affecting suicide ideation amongst university students in Korea. Methods: Study participants were recruited online from one of the universities in Seoul. The total of 794 samples were included in the final dataset. First, correlation analyses were performed among life stressors, depression and mitigating factors. Second, factorial analysis was conducted to explore different dimensions of he life stressors experienced by the university students. Finally, we used logistic regression to find out the relationship between university students' sub-stressors or mitigating factors, and suicide ideation. Results: Three sub-stressors were identified - interpersonal relationship stress, academic stress and economic stress. All of these stressors were significantly associated with suicide ideation. However, none of them significantly predicted suicide ideation controlling for depression. All mitigating factors - health related behaviors, social support and leisure activities - were statistically significant and negatively related to depression, yet only social support had a significantly negative association with suicide ideation. Conclusions: In conclusion, Social support is the most important factor which may affect suicide ideation among university students in Korea.

우리나라 성인의 고감도 C-반응성 단백과 대사증후군의 관련성: 성별 분석 (Association between High Sensitivity C-Reactive Protein and Metabolic Syndrome in South Korea: A Gender-Specific Analysis)

  • 신은영;이용재;김태현;정금지;정우진
    • 보건행정학회지
    • /
    • 제31권2호
    • /
    • pp.158-172
    • /
    • 2021
  • Background: Metabolic syndrome has been known as a risk of cardiovascular disease. Meanwhile, high sensitivity C-reactive protein (hs-CRP) is used as a predictor of cardiovascular disease. In this paper, we aimed to investigate the association between hs-CRP and metabolic syndrome. Method: A total of 7,633 were chosen as the study population from the 7th Korea National Health and Nutrition Examination Survey dataset (2016-2017). Our dependent variable was whether an individual had metabolic syndrome or not, and the independent variable of interest was hs-CRP which was categorized into three groups. The chi-square tests and hierarchical logistic regression analyses reflecting survey characteristics were conducted. All analyses were stratified by gender. Results: According to the adjusted model with all covariates, compared to individuals having the low risk of hs-CRP, those having its average risk were more likely to have metabolic syndrome in men (odds ratio [OR], 1.41; 95% confidence interval [CI], 1.12-1.76) and women (OR, 1.69; 95% CI, 1.33-2.16). Individuals having the high risk was not significantly different in men; however, they were more likely to have metabolic syndrome in women (OR, 2.03; 95% CI, 1.28-3.23). Conclusion: In an upcoming aging society, it is important to reduce the risk of metabolic syndrome to improve population health. This study suggests that hs-CRP may be used as a marker of the risk of metabolic syndrome in a gender-specific way, thereby contributing to enhancing awareness of the risk of metabolic syndrome among the general public.