• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.113-124
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• 2022

This study was conducted to analyze the relationship between the levels of lead (Pb) exposure and cardiovascular disease (CVD) in Korean adult women. We used cross-sectional data on blood lead and self-reported diagnoses of ischemic heart disease (IHD), stroke and hypertension in a subsample of 1.821 adults 19 years and older who participated in the 2017 Korea National Health and Nutrition Examination Survey (KNHANES). CVD and blood Pb concentrations were analyzed through logistic regression analysis, and correlations between factors were confirmed using the pearson correlation coefficient. An increase of blood Pb was associated with an increased risk of IHD (OR 5.68, 95% CI 1.01-17.51) and hypertension (OR 3.37, 95% CI 2.24-5.07) only in women. Additionally, there was a correlation between blood Pb and nutrient intake. This suggest that blood Pb levels may be used as a key predictor of CVD development, and that women are more susceptable to IHD and hypertension associated with Pb exposure.

• Korean Journal of Clinical Laboratory Science
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• v.47 no.4
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• pp.188-193
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• 2015

Carotid Intima-Media Thickness (CIMT) testing is a test that precisely assesses cerebrovascular and coronary heart diseases. According to many previous studies, CIMT predicts atherosclerosis and is highly correlated to cardiovascular disease risk factors. It has also been reported that CIMT is an independent predictor of risk factors for myocardial infarction and stroke. Therefore, the purpose of this study is to investigate CIMT and other independent factors through a correlation study with the clinical laboratory test results of a blood test. As a result, this study could not prove the correlation between CIMT and risk factors of cardiovascular disease (TC, TG, LDL cholesterol, and HDL cholesterol) due to an insufficient number of subjects. Nevertheless, a positive correlation was demonstrated between CIMT and ALT (p<0.05), GGT (p<0.05), Uric acid (p<0.05), and CEA (p<0.05) at a statistically significant level, suggesting a continuation of the study.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.3
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• pp.234-239
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• 2012

황사(Asian dust storm, ADS)란 중국이나 몽골 등 중앙아시아 지역의 사막 지대의 작은 모래나 황토 또는 먼지가 하늘에 떠다니다가 상층풍을 타고 멀리까지 날아가 떨어지는 현상을 말하며, 주로 봄철에 우리나라를 비롯한 동아시아 지역에 영향을 준다. 이와 같은 황사에 영향을 받는 지역에서는 거주민들의 건강에 부정적인 영향을 미치는 것으로 알려져 있다. 본 연구는 2005년도에서 2008년도까지 4년간 서울지역 거주민들 사이에서 황사현상이 천식질환에 미치는 영향을 분석하고자 한다. 이를 위해 황사발생일(기준일 또는 index day)과 기준일 대비 7일 전후(비교일 또는 comparison day) 황사가 발생하지 않은 날에 병의원에서 진료를 받은 천식환자 수를 황사예보의 정확도에 따라 비교 분석하였다. 그 결과 24시간 전 제공된 황사예보가 황사발생을 정확히 예측한 경우라 하더라도 비교일 대비 기준일의 천식환자 수가 여전히 더 많다는 사실을 알 수 있었다. 다만, 증가 정도는 통계적으로 유의한 수준은 아니었다는 점에서 정확한 황사예보가 최소한 어느 정도는 천식질환 발생을 저감시키는 효과는 분명히 가지고 있다고 판단할 수 있다. 반면에 24시간 전 황사예보가 황사발생을 정확하게 예측하지 못한 경우에는 비교일 대비 기준일에서 5~6일 후에 진료 받은 천식환자 수가 통계적으로 유의할 수준까지 높게 나타났다. 하지만, 기준일 및 기준일 다음 날의 경우에는 오히려 천식환자 수가 감소하는 경향을 보였다. 본 연구를 통해 황사예보 및 황사발생의 다양한 경우에 따라 천식환자 수의 일정한 변화패턴이 발견되었으며, 이와 같은 연구결과는 황사 관련 의료서비스 체계를 보다 효율적으로 설계하는데 활용될 수 있을 것으로 기대된다.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.477-486
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• 2021

This study was conducted to detect metabolic syndrome risk factors and gender difference in adults. 18,616 cases of adults are collected by Korea Health and Nutrition Examination Study from 2016 to 2019. Using 4 types of machine Learning(Logistic Regression, Decision Tree, Naïve Bayes, Random Forest) to predict Metabolic Syndrome. The results showed that the Random Forest was superior to other methods in men and women. In both of participants, BMI, diet(fat, vitamin C, vitamin A, protein, energy intake), number of underlying chronic disease and age were the upper importance. In women, education level, menarche age, menopause was additional upper importance and age, number of underlying chronic disease were more powerful importance than men. Future study have to verify various strategy to prevent metabolic syndrome.

• The Korean Journal of Applied Statistics
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• v.32 no.4
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• pp.619-630
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• 2019

Dyslipidemia is a representative chronic disease affecting Koreans that requires continuous management. It is also a known risk factor for cardiovascular disease such as hypertension and diabetes. However, it is difficult to diagnose vascular disease without a medical examination. This study identifies risk factors for the recognition and prevention of dyslipidemia. By integrating them, we construct a statistical instrumental nomogram that can predict the incidence rate while visualizing. Data were from the Korean National Health and Nutrition Examination Survey (KNHANES) for 2013-2016. First, a chi-squared test identified twelve risk factors of dyslipidemia. We used a naïve Bayesian classifier model to construct a nomogram for the dyslipidemia. The constructed nomogram was verified using a receiver operating characteristics curve and calibration plot. Finally, we compared the logistic nomogram previously presented with the Bayesian nomogram proposed in this study.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.127-135
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• 2023

Nowadays, the number of patients committing suicide due to depression and stress is rapidly increasing. In addition, if stress and depression last for a long time, they are dangerous factors that can cause heart disease, brain disease, and high blood pressure. However, no matter how modern medicine has developed, it is a very difficult situation for patients with depression and heart disease without special drugs or treatments. Therefore, in many countries around the world, studies are being actively conducted to determine patients at risk of depression and patients at risk of suicide at an early stage using electrocardiogram, oxygen saturation, and brain wave analysis functions. In this paper, in order to analyze these problems, a computer simulation was performed to determine heart disease risk patients by establishing heart disease hypothesis data. In particular, in order to improve the predictive rate of heart disease by more than 10%, a simulation using fuzzy inference was performed.

• 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.

• Journal of the Korea Society of Computer and Information
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• v.17 no.10
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• pp.145-154
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• 2012

Recently, the cardiovascular disease has increased by causes such as westernization dietary life, smoking, and obesity. In particular, the acute myocardial infarction (AMI) occupies 50% death rate in cardiovascular disease. Following this trend, the AMI has been carried out a research for discovery of risk factors based on national data. However, there is a lack of diagnosis minor suitable for Korean. The objective of this paper is to develop a classifier for short-term relapse mortality prediction of cardiovascular disease patient based on prognosis data which is supported by KAMIR(Korea Acute Myocardial Infarction). Through this study, we came to a conclusion that ANN is the most suitable method for predicting the short-term relapse mortality of patients who have ST-segment elevation myocardial infarction. Also, data set obtained by logistic regression analysis performed highly efficient performance than existing data set. So, it is expect to contribute to prognosis estimation through proper classification of high-risk patients.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.418-421
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• 2023

본 논문은 Word2Vec를 이용하여 한국어 증상 기반 질병 예측 모델을 제시한다. 아산병원 질환 백과의 크롤링 데이터를 세 가지 형식으로 나누어, 모델에 알맞은 데이터 형식을 찾고 모델에 적용한다. 가장 모델에 맞는 데이터 형식은 증상별 질병과 질병별 증상을 합친 경우이다. 데이터의 양을 늘려 임베딩 스페이스를 넓혔고, 가장 중요한 증상과 질병의 유사도도 정확하게 출력되었다. 이는 유사도가 높은 질병과 증상들이 제대로 학습이 되었다는 것을 알 수 있다. 이렇게 만들어진 예측 모델에 positive 증상을 입력하면 유사도가 향상되고, negative에 입력하면 하락하는 결과를 확인했다. 따라서 환자의 증상을 positive에 넣으면, 그 증상을 가진 질병이 가까워지는 반면, 환자의 증상이 아닌 증상을 negative에 넣으면, 환자에게 맞지 않는 질병이 멀어진다. 그러므로 환자의 상태에 맞는 질병을 유추해, 의사나 환자가 증상에 대한 질병을 알고 싶을 때 또는 검색에 유용하게 사용할 수 있다. 더불어, 질병의 진료과 데이터를 추가하여, 환자에게 맞는 진료과를 찾는 데도 도움을 줄 수 있다.

• Journal of Dairy Science and Biotechnology
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• v.32 no.1
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• pp.17-29
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• 2014

GRAS probiotics can be used to modulate intestinal microbiota and to alleviate various gastrointestinal disorders. In several recent studies, researchers have explored the potential expansion and usability of probiotics to reduce the risk factors associated with diseases, including obesity, hypercholesterolemia, arterial hypertension, hyperhomocysteinemia, and oxidative stress. In this review, our aim was to clarify the mechanism underlying interactions between hosts (animal or human) and probiotics and the beneficial effects of probiotics on human health.