• The KIPS Transactions:PartD
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• v.16D no.1
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• pp.11-26
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• 2009

In order to diagnose cardiovascular disease, we proposed EP-based(emerging pattern- based) classification technique using multi-parametric diagnosis indexes. We analyzed linear/nonlinear features of HRV for three recumbent postures and extracted four diagnosis indexes from ST-segments to apply the multi-parametric diagnosis indexes. In this paper, classification model using essential emerging patterns for diagnosing disease was applied. This classification technique discovers disease patterns of patient group and these emerging patterns are frequent in patients with cardiovascular disease but are not frequent in the normal group. To evaluate proposed classification algorithm, 120 patients with AP (angina pectrois), 13 patients with ACS(acute coronary syndrome) and 128 normal people data were used. As a result of classification, when multi-parametric indexes were used, the percent accuracy in classifying three groups was turned out to be about 88.3%.

• Journal of Digital Convergence
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• v.13 no.11
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• pp.217-230
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• 2015

This study investigated the differences in how medical institutions are chosen according to the motivation of medical service utilization(minor disease, major disease, chronic disease management, cosmetic). Importance order of selection for the minor disease were medical skill, kindness, rapidness, proximity, importance order of selection for major disease and cosmetic were medical skill, facilities, reputation, medical fee, importance order of selection for chronic disease management were medical skill, facilities, kindness, medical fee. From this medical study skill was a more important factor in medical institutions irrespective of motivation, subjects with the major disease tend to consider the selection of the medical institutions more important, except proximity. Medical users select medical institutions according to the motivation of visiting, and there were differences in same motivation according to socioeconomic status and information searching behavior.

• Journal of Digital Convergence
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• v.18 no.5
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• pp.357-365
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• 2020

This study was examined the influence of self-esteem and empathy ability on attitude toward mental illness of nursing college students. The subjects were 256 nursing students who recruited from one college. Data collected from August 29 to September 9, 2019. Data were analyzed using IBM SPSS 25.0 program. The major findings were as follow; 1) There were significant differences in attitude toward mental illness according to grade, satisfaction for major and mental health volunteer experiences. 2) The attitude toward mental illness was positively correlated with self-esteem, cognitive empathy ability and emotional empathy ability. 3) Factors significantly influencing attitude toward mental illness were grade and cognitive empathy ability and these factors accounted for 23% of attitude toward mental illness. Through this study, cognitive empathy ability was confirmed as a factor affecting the attitude toward mental illness of nursing college students.

• Korean Journal of Psychosomatic Medicine
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• v.18 no.2
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• pp.57-61
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• 2010

The complex regional pain syndrome(CRPS) is a painful and disabling disorder that can affect one or more extremities. Unfortunately, knowledge concerning its natural history and mechanism remains very limited. Many current rationales in treatment of CRPS are mainly dependent on efficacy originate in other common conditions of neuropathic pain. This article introduces various treatments for CRPS, but few studies of high methodological quality have been carried out into the effects of those treatments. I think early recognition and a multidisciplinary approach to management seems important in obtaining a good outcome.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.12
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• pp.555-560
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• 2021

Recently, as people's interest in facial skin beauty has increased, research on skin disease recognition for facial skin beauty is being conducted by using deep learning. These studies recognized a variety of skin diseases, including acne. Existing studies can recognize only the single skin diseases, but skin diseases that occur on the face can enact in a more diverse and complex manner. Therefore, in this paper, complex skin diseases such as acne, blackheads, freckles, age spots, normal skin, and whiteheads are identified using the Inception-ResNet V2 deep learning mode with multi-label classification. The accuracy was 98.8%, hamming loss was 0.003, and precision, recall, F1-Score achieved 96.6% or more for each single class.

• Journal of agricultural medicine and community health
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• v.43 no.4
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• pp.224-233
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• 2018

Objectives: This study was conducted to identify the relations between multiple chronic diseases and peridontal diseases in Korean adults. Methods: A total of 4,142 cases was set for analysis, who aged 35 and over and finished with the third year health survey and oral health check-up of the fifth Korea National Health and Nutrition Examination Survey(2012). Peridontal disease was defined if community periodontal index(CPI) was 3(formation of paradental cyst of more than 4mm) or 4(formation of paradental cyst of more than 6mm). Results: The subjects consisted of 48.5% male and 51.5% female. The prevalence rate of peridontal disease was found to be 30.1% in total. In peridontal disease the more the age increased, and the lower the education level and income level as well as the more where the residential area was rural, the higher the prevalence rate was(p<0.01). According to the number of multiple chronic conditions the prevalence rate of periodontal disease accounted for 27.8%, 31.9%, 33.1%, and 35.2% when there were 0, 1, 2, and 3 or more chronic diseases respectively. As a result of logistic regression analysis, gender, age, education level, residential area, current smoking, and use of oral hygienic products were found to be significant factors on peridontal disease. Conclusions: This research revealed the prevalence rate of peridontal disease was 30.1% in Korean adults and health behaviors affecting on periodontal disease were more significant.

• Journal of the Korea Convergence Society
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• v.10 no.10
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• pp.337-346
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• 2019

The purpose of this study was to investigate the convergence factors affecting disease management efforts of the middle-aged population who have comorbidities of all three metabolic diseases: type 2 diabetes, hypertension, and dyslipidemia. This study used raw data from the 2015 community health survey(CHS). A multiple hierarchical regression analysis was performed that the included variables explained 20.1% of the variance in weight-loss efforts, 6.8% of exercise efforts and 5.3% diet efforts respectively. This study revealed associations among gender, socioeconomic status, and behavioral habits of smoking and drinking with disease-management efforts. It is important to design a health service or supportive intervention with consideration of multiple factors for patients with multiple metabolic disease.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.387-392
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• 2020

This study was to investigate the relationship of BMI, sleep time and experience of oral diseases in adolescents. We want to help develop basic data for improving oral health of adolescents. According to the sample design of the Youth Health Behavior online survey, a total of 57,303 adolescents were analyzed for frequency of composite samples, x2-test of composite samples, and logistic regression of composite samples, and the IBM SPSS Statistics 20.0 program was used and the significance level was 0.05. Results, BMI was associated with bad breath, and sleep time was associated with tooth break, pain, bleeding, and bad breath. Therefore, BMI and sleep time should be considered for the management and prevention of oral diseases in adolescents.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.722-725
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• 2008

복합질환(complex disease)의 원인과 작용 모델을 찾기 위해 여러 가지 통계적인 방법들과 기계 학습(machine learning)의 방법 등이 사용되고 있다. 소수 SNP의 작용모델을 찾는 방법은 많이 알려져 있지만 다수 SNP의 작용 모델을 효과적으로 찾는 방법은 거의 연구되어 있지 않다. 본 연구에서는 원인 SNP들의 작용을 부울 식(boolean expression)으로 나타내고, 유전 알고리즘(genetic algorithm)을 이용하여 예측 정확도가 높은 부울 식을 구성하였으며 실제 자료와 생성된 자료에 대하여 제안한 모델의 성능을 측정하였다.

• Journal of the Korea Convergence Society
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• v.10 no.5
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• pp.63-70
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• 2019

Periodontal disease as one of oral diseases is a chronic disease that continuously worsens once it occurs. It begins with gingivitis in the late school childhood. Its prevalence rate gradually increases in adolescence and continues to rise until young and middle ages. Therefore, the preventive care for the disease in one's whole life is of very importance. Since periodontal disease can be prevented and controlled by oral health behaviors, this study focuses on the relation between adults' oral health behaviors and the disease and emphasizes its importance. Based on the data of the 2015 6th (3rd Year) National Health and Nutrition Examination Survey, the prevalence rate of periodontal disease was compared according to study subjects' oral health behaviors. As a result, gum disease treatment, the count of gum brushing, use of dental floss use of interdental brush, and subjective oral health condition were statistically meaningful. Given that oral health behaviors are related to periodontal disease, it is necessary to conduct a systematic study for developing and performing the oral health education program to make the right habit of oral health behaviors.