• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.2
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• pp.87-96
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• 2023

Recently, research on predicting the treatment results of diseases using deep learning technology is also active in the medical community. However, small patient data and specific deep learning algorithms were selected and utilized, and research was conducted to show meaningful results under specific conditions. In this study, in order to generalize the research results, patients were further expanded and subdivided to derive the results of a study predicting mortality after lung cancer diagnosis for men and women in their 80s, 90s, and 100s. Using AutoML, which provides large-scale medical information and various deep learning algorithms from the Health Insurance Review and Assessment Service, five algorithms such as Decision Tree, Random Forest, Gradient Boosting, XGBoost, and Logistic Registration were created to predict mortality rates for 84 months after lung cancer diagnosis. As a result of the study, men in their 80s and 90s had a higher mortality prediction rate than women, and women in their 100s had a higher mortality prediction rate than men. And the factor that has the greatest influence on the mortality rate was analyzed as the treatment period.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.47-51
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• 2021

In this study, we try to find out and analyze the results of reduced self-esteem and loss using text mining. Physical health is important, of course, but these days, mental health is considered more important. In order for the mind to be healthy, it is important to have self-esteem and self-confidence first. Self-esteem decreases, and if lost, it directly leads to depression. If depression is severe, the worst will lead to self-harm and suicide. However, more and more people are committing suicide these days because both ordinary people and entertainers cannot overcome depression. For this reason, the seriousness of depression and loss of self-esteem are also considered important and become an issue. Therefore, we want to collect data for a certain period of time through Naver, Instagram, and Twitter searches and extract the words of the data to anticipate and analyze the cause of loss of self-esteem, how serious the recent depression is, and what the consequences of loss of self-esteem are.

• Korean Journal of Agricultural and Forest Meteorology
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• v.25 no.4
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• pp.245-257
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• 2023

The representative crop in the Republic of Korea, rice, is cultivated over extensive areas every year, which resulting in reduced resistance to pests and diseases. One of the major rice diseases, rice blast disease, can lead to a significant decrease in yields when it occurs on a large scale, necessitating early detection and effective control of rice blast disease. Drone-based crop monitoring techniques are valuable for detecting abnormal growth, but frequent image capture for potential rice blast disease occurrences can consume significant labor and resources. The purpose of this study is to early detect rice blast disease using remote sensing data, such as drone and satellite images, along with weather data. Satellite images was helpful in identifying rice cultivation fields. Effective detection of paddy fields was achieved by utilizing vegetation and water indices. Subsequently, air temperature, relative humidity, and number of rainy days were used to calculate the risk of rice blast disease occurrence. An increase in the risk of disease occurrence implies a higher likelihood of disease development, and drone measurements perform at this time. Spectral reflectance changes in the red and near-infrared wavelength regions were observed at the locations where rice blast disease occurred. Clusters with low vegetation index values were observed at locations where rice blast disease occurred, and the time series data for drone images allowed for tracking the spread of the disease from these points. Finally, drone images captured before harvesting was used to generate spatial information on the incidence of rice blast disease in each field.

• Information Systems Review
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• v.24 no.1
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• pp.21-37
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• 2022

Drug repositioning, one of the methods of developing new drugs, is a useful way to discover new indications by allowing drugs that have already been approved for use in people to be used for other purposes. Recently, with the development of machine learning technology, the case of analyzing vast amounts of biological information and using it to develop new drugs is increasing. The use of machine learning technology to drug repositioning will help quickly find effective treatments. Currently, the world is having a difficult time due to a new disease caused by coronavirus (COVID-19), a severe acute respiratory syndrome. Drug repositioning that repurposes drugsthat have already been clinically approved could be an alternative to therapeutics to treat COVID-19 patients. This study intends to examine research trends in the field of drug repositioning using machine learning techniques. In Pub Med, a total of 4,821 papers were collected with the keyword 'Drug Repositioning'using the web scraping technique. After data preprocessing, frequency analysis, LDA-based topic modeling, random forest classification analysis, and prediction performance evaluation were performed on 4,419 papers. Associated words were analyzed based on the Word2vec model, and after reducing the PCA dimension, K-Means clustered to generate labels, and then the structured organization of the literature was visualized using the t-SNE algorithm. Hierarchical clustering was applied to the LDA results and visualized as a heat map. This study identified the research topics related to drug repositioning, and presented a method to derive and visualize meaningful topics from a large amount of literature using a machine learning algorithm. It is expected that it will help to be used as basic data for establishing research or development strategies in the field of drug repositioning in the future.

• Journal of the Korean Society of Radiology
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• v.82 no.5
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• pp.1246-1257
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• 2021

Purpose To assess the predictive factors and describe the imaging features of mediastinal lymph node (MLN) metastases in patients with head and neck cancer. Materials and Methods We compared the clinical features and disease characteristics (sex, age, site of primary tumor, histologic type, history of prior treatments, TNM stages, and metastasis in cervical LNs) of patients with head and neck cancers between the MLN metastasis and no MLN metastasis groups. We also evaluated the chest CT (distribution and maximum dimension of the largest LN) and PET/CT (maximum standardized uptake value) features of MLN metastases based on the MLN classification. Results Of the 470 patients with head and neck cancer, 55 (11.7%) had MLN metastasis, involving 150 mediastinal stations. Hypopharynx cancer, recurrent tumor, T4 stage, N2/N3 stages, and M1 stage were found to be significant predicting factors for MLN metastasis. The most common location of MLN metastasis was ipsilateral station 2 (upper paratracheal LNs, 36.4%), followed by ipsilateral station 11 (interlobar LNs, 27.3%) and ipsilateral station 10 (hilar LNs, 25.5%). Conclusion Metastasis to MLNs should be considered in patients with head and neck cancer, especially in cases that are associated with a hypopharyngeal cancer, recurrent tumor, and high TNM stages.

• Journal of Life Science
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• v.34 no.2
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• pp.94-104
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• 2024

β-Lapachone is a natural quinone compound originally obtained from the bark of the lapacho tree (Tabebuia vellanedae), which has been used in traditional medicine in several South and Central American countries for treating various diseases. Although β-lapachone has been reported to have potent anticancer activity in many types of cancer cells, its effect on the proliferation of hepatocellular carcinoma (HCC) cells is still unclear. Therefore, in this study, we investigated the effect of β-lapachone on the proliferation of human HCC Hep3B cells. According to our results, the decrease in cell viability of Hep3B cells caused by β-lapachone was closely related to the induction of apoptosis, which was confirmed through changes in nuclear morphology and flow cytometry. In addition, in Hep3B cells treated with β-lapachone, the expression of Bcl-2, an anti-apoptotic factor, was decreased, while the expression of Bax, an apoptosis inducer, was increased, and the activity of the caspase cascade was also increased. However, in the presence of a pan-caspase inhibitor, β-lapachone-induced apoptosis was weakened, indicating that the induction of apoptosis by β-lapachone was caspase-dependent. Moreover, β-lapachone treatment activated extracellular-regulated kinase (ERK) signaling while inhibiting activation of the phosphoinositide 3 kinase (PI3K)/Akt pathway. Furthermore, the effect of the ERK inhibitor on suppressing the induction of apoptosis by β-lapachone was minimal, and the PI3K inhibitor significantly increased β-lapachone-induced apoptosis. The findings from this study will contribute to a better understanding of the anticancer activity of β-lapachone in HCC cells.

• Journal of agricultural medicine and community health
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• v.30 no.2
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• pp.227-240
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• 2005

Health promotion has more comprehensive approaches in recent years. Nevertheless we accept the concept of health promotion differently, we are agree on that community is the most important field in health promotion which includes population at the aspect of health policy, individual skill and, environment. And there are a number of different approaches to health promotion. In them, 'population approaches' and 'high -risk group approaches' has the most different characteristics. 'Population approaches' is equally important or more important than 'individual approaches' for maintaining and promoting population health. Almost part of this article contents is the summary of the guideline and population strategy of health promotion in Korea, 1999 - 2005. Community based health promotion program should be reinforced, integrated, comprehensive, collaborative through efficiently utilizing community resources. Recent new orientation of community health program is integrated health program, we can find this orientation at Ottawa charter 1986. Comprehensive approaches with the determinant factors for health are essential task. Physical activity is a key health determinant. The population-health approach suggests that educating people about physical activity is not enough. Individual behavior changes are important too, but need to be balanced with strategies for environmental change. Population strategy with physical activity for health promotion should be developed through improving social and physical supportive environment, linking and integrating community resources between public and private sectors in national, regional and local level. Continuous public education and social marketing should be provided through collaborating with community physical activity organization, facilities, work-places and school for increasing concern of all the people of community about physical activity. Governments, agencies and citizens should held and participate to building movement. And the strategy that various 'active for life' program should be developed, delivered, maintained and reinforced continuously. Basically, adequate and sufficient financing, developing human resources, policies and legislation would be provided and supported fully too. At last, research development and knowledge exchange are required domestically and internationally. In Korea, we had classified the category of strategic priority of physical activity programs by environmental support, life-course approach, high-risk group approach and disease group approach for physical activity program based on community health center. Community based core programs for physical activity that includes infrastructure building and establishment of supporting environment, community campaign, health promotion education and public service announcement, physical activity programs for elderly and obesity, exercise prescription program.

• The Journal of the Korean bone and joint tumor society
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• v.11 no.2
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• pp.118-125
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• 2005

Purpose: The expression of apoptosis-related genes, such as survivin, bcl-2, and bax has been examined in the human osteosarcoma and then evaluated the correlation with clinical data of patients. Materials and Methods: Fifty human osteosarcoma specimens were established from incisional biopsy and examination of survivin, bcl-2, and bax by immunohistochemical study was performed. We investigated the correlation of survivin, bcl-2, bax and their two or three combined expressions with clinical data including the response of chemotherapy, local recurrence, distance metastasis, and oncologic outcome. Results: Survivin was showed in 26 cases (52%), bcl-2 in 23 cases (46%), and bax in 21 cases (42%) osteosarcoma. And coexpression of survivin and bcl-2 was showed in 19 cases (38%), survivin and bax in 13 cases (26%), bcl-2 and bax in 8 cases (16%), and all three expression was showed in 8 cases (16%). There was no correlation between their apoptosis related gene and histologic difference, the presence of local recurrence and distant metastasis. Whereas neoadjuvant chemotherapy response correlated with bcl-2 expression (P=0.04), and survivin and bcl-2 coexpression (P=0.044) with poor chemoresponse. The rate of died of disease was correlated with bcl-2 (P=0.001), survivin and bcl-2 coexpression (P=0.027) with bad outcome. Survival curves of bcl-2 (P=0.0075), survivin and bcl-2 (P=0.0012) was showed negative correlation in the Kaplan-Meier method. Conclusion: The apoptosis related gene expression was relatively high in osteosarcoma, bcl-2 expression was correlated with poor chemotherapy response and poor survival rate, but survivin was correlated with this oncologic outcome only in the bcl-2 coexpression. The examination of immunohistochemical stain of apoptosis related gene in osteosarcoma could be helpful in the judgment of osteosarcoma prognosis.

• Tuberculosis and Respiratory Diseases
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• v.45 no.3
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• pp.503-508
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• 1998

Background: Tuberculous cervical lymphadenitis is one of the common causes of cervical mass in adult (especially in woman) in korea. Sometimes it appears to be difficult in defining the role of surgery and duration of antituberculous chemotherapy. Method: To clarify the proper duration and/or combination of regimens, we analyzed the clinical data of 31 patient with cervical lymphadenitis diagnosed at Chungnam National University Hospital from March 1996 to December 1996 and all patients were prospectively randomized into two groups(2HREZ/4HRE and 6HREZ) by treatment method. Result: Prevalent age, male to female ratio, association with pulmonary tuberculosis and history of previous antituberculous medication were not statistically different between two groups. The average size of the largest lymph node before teatment was $2.43{\pm}0.98cm$ and $3.15{\pm}1.74cm$, respectively and was 0.63cm and 0.6cm after treatment, respectively. In both groups, 2 patients have engrowing node or not changed node during tratment and no recurrence was found during follow up period upto 12 months. In both groups, no significant side reaction resulting in discotinuation or changing the regimens was noticed. Conclusion: Short course antituberculosis therapy(2HREZ/4HRE) could be recommanded as effective standard therapy for superficial lymph node tuberculosis. Longterm follow up at least 36 months to observe recurrence might be needed to confirm this conclusion.

• Korean Journal of Biological Psychiatry
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• v.14 no.4
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• pp.232-240
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• 2007

Objectives : Vascular endothelial growth factor(VEGF), one of potent cytokines, and its receptors were related with various biological functions and pathological conditions. The purpose of this study was to investigate the changes of serum level of free VEGF, soluble VEGFR-1, and soluble VEGFR-2 after treatment with atypical antipsychotic drug in schizophrenia. Method : The schizophrenic patients were diagnosed with DSM-IV and were prospectively followed up for 4 and 8 weeks. Thirteen schizophrenic patients were evaluated their clinical assessment with serum levels of free VEGF, sVEGFR-1, sVEGFR-2, and positive and negative symptom scale(PANSS) at baseline, 4 weeks, and 8 weeks after treatment with atypical antipsychotic drug. Thirteen normal control subjects were recruited and matched with the patient group by age and sex. Result : The serum level of free VEGF($295.2{\pm}43.7$pg/ml)and sVEGFR-2($8259{\pm}336.7$) at baseline(before treatment) in schizophrenic patients were not significantly different, compared with the control group($199.0{\pm}28.8$ and $8481{\pm}371.9$) respectively. However, the serum level of sVEGFR-1($86.2{\pm}10.3$, p<0.05) was significantly increased in the schizophrenic patients compared with the control group($59.0{\pm}6.4$). After treatment with antipsychotic drug, the serum levels of free VEGF at 4 weeks($338.9{\pm}56.5$) and 8 weeks($309.5{\pm}58.7$) were not significantly, different compared with baseline. But the serum levels of sVEGFR-1 was significantly decreased at 8 weeks ($57.3{\pm}6.3$, p<0.05) after antipsychotic drug treatment. The serum levels of sVEGFR-2 were decreased at 4 weeks ($7761{\pm}403.0$, p<0.05) and 8 weeks($7435{\pm}333.5$, p<0.05) compared with baseline. Conclusion : The decreased serum level of sVEGFR-1 and sVEGFR-2 might be affected by dopaminergic system which was influenced by antipsychotic drug.