• 한국문헌정보학회지
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• 제35권1호
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• pp.229-248
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• 2001

본 연구에서는 지역주민들의 의료질문에 의학정보 서비스를 제공할 수 있는 공공도서관 의학정보 사이트의 모형을 개발하고자 한다. 이를 위하여 기존 의학정보 사이트 7개를 선정하고, 이들에 대하여 웹사이트 개발과정인 기획, 분석, 설계, 구현, 홍보, 혁신의 6단계를 활용하여 인터페이스, 정보원 구성, 기능적 측면에서 분석하는 연구방법을 채택하였다. 분석 결과를 기초로 모형을 제시하고 웹사이트를 구현하였다. 본 연구결과는 의학정보서비스의 비전문가가 의학정보사이트의 인터페이스와 주제정보를 효율적으로 파악할 수 있는 유용한 방법론을 제시할 것이다.

• 산업경영시스템학회지
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• 제44권3호
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• pp.146-164
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• 2021

This study examines the effects of the public's perception of emergency medical service (EMS) on the public health system's brand equity and the moderating effect of governance on this relationship using Keller's customer-based brand equity model. It uses four EMS functions: rescue/first-aid and transfer activities; disaster prevention, preparation, and response activities; educational activities in urgent situations; and medical treatment in emergency rooms to examine the effects of them on brand meaning of the public health system. Our findings are important for understanding the public as customers of the public health system and devising and/ or adapting healthcare policies and marketing strategies to develop brand equity and increase customers' loyalty to the public health system.

• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.1-6
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• 2021

Recently, pre-trained convolutional neural network CNNs have been widely used and applied for medical image classification. These models can utilised in three different ways, for feature extraction, to use the architecture of the pre-trained model and to train some layers while freezing others. In this study, the ResNet18 pre-trained CNNs model is used for feature extraction, followed by the support vector machine for multiple classes to classify medical images from multi-classes, which is used as the main classifier. Our proposed classification method was implemented on Kvasir and PH2 medical image datasets. The overall accuracy was 93.38% and 91.67% for Kvasir and PH2 datasets, respectively. The classification results and performance of our proposed method outperformed some of the related similar methods in this area of study.

• 의학교육논단
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• 제25권3호
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• pp.229-242
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• 2023

Health systems science is a new medical educational field added to the traditional medical education curricula of basic and clinical sciences. Health systems science emphasizes a more comprehensive approach utilizing systems thinking to care for patients, including interactions between multiple healthcare systems. In this review, I explore how health systems science education can be applied when medical instructors teach students in clinical clerkships through representative case studies. This study first looks at examples of health systems science education in clinical clerkship in the United States and suggests how to develop the curriculum of health systems science for clinical learning environments in Korea by combining Kotter's 8-step change management model and Kern's 6-step curriculum development model. Finally, based on practical examples from actual clinical practice education situations, suggestions are made regarding how to develop the entire educational program of a medical school from the stage of applying health systems science at the individual level to clinical practice education.

• Asian Pacific Journal of Cancer Prevention
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• 제13권2호
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• pp.579-583
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• 2012

Background: The SULT1A1 Arg213His polymorphism is reported to be associated with lung cancer risk. However, this relationship remains controversial. For better understanding a meta-analysis was therefore performed. Methods: An extensive search was performed to identify all case-control studies investigating association between SULT1A1 Arg213His polymorphism and lung cancer risk. The strength was assessed by odds ratio (OR) with the corresponding 95% confidence interval (95%CI). Results: A total of five publications covering 1,669 cases and 1,890 controls were included in this meta-analysis. No significant association between SULT1A1 Arg213His polymorphism and lung cancer risk was observed in overall comparisons in all genetic models (dominant model: OR=1.33, 95%CI=1.00-1.76, P=0.05; additive model: OR=1.30, 95%CI=0.93-1.81, P=0.12; recessive model: OR=1.21, 95%CI=0.89-1.66, P=0.23). However, on subgroup analysis, an elevated risk in mixed populations with variant His allele was revealed in the dominant model (OR=1.66, 95% CI=1.06-2.62, P=0.03). Furthermore, the SULT1A1 Arg213His polymorphism was associated with an increased risk of lung cancer in both females and males in the dominant model (females: OR=1.72, 95%CI=1.29-2.27, P=0.00; males: OR=1.46, 95%CI=1.19-1.78, P=0.00). No significant association between this polymorphism and different smoking status (smokers and non-smokers) and the other ethnicities (Asians and Caucasians) was shown. Conclusions: The results of this meta-analysis indicate that the SULT1A1 Arg213His polymorphism is not associated with lung cancer risk in Asians and Caucasians, but possible elevation for genotype (GA/AA) in mixed populations and males and females needs further investigation.

• Asian Pacific Journal of Cancer Prevention
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• 제16권10호
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• pp.4329-4333
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• 2015

Background: To investigate the change of frequency and immuno-inhibitory function of myeloid-derived suppressor cells (MDSCs) after treatment of cisplatin (DDP) in A375 human melanoma model. Materials and Methods: BALB/c nude mice were inoculated with A375 cells to establish the human melanoma model and randomly divided into control group given normal saline (NS) and experimental group treated with DDP (5 mg/kg). The percentages of MDSCs in the tumor tissue and peripheral blood after DDP treatment were detected by flow cytometry. The proliferation and interferon-${\gamma}$ (IFN-${\gamma}$) secretion of T cells co-cultured with MDSCs were analyzed through carboxyfluorescein succinimidyl ester (CFSE) labeling assay and enzyme-linked immunospot (ELISPOT) assay, respectively. Results: In A375 human melanoma model, DDP treatment could significantly decrease the percentage of MDSCs in the tumor tissue, but exerted no effect on the level of MDSCs in peripheral blood. Moreover, DDP treatment could attenuate the immuno-inhibitory function of MDSCs. T cells co-cultured with DDP-treated MDSCs could dramatically elevate the proliferation and production of INF-${\gamma}$. Conclusions: DDP can decrease the frequency and attenuate immuno-inhibitory function of MDSCs in A375 melanoma model, suggesting a potential strategy to augment the efficacy of combined immunotherapy.

• The Korean Journal of Physiology and Pharmacology
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• 제11권3호
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• pp.113-119
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• 2007

Developmental disability shows life-long behavioral abnormality with no significant physical malformation. This study was undertaken to develop an animal model for developmental disability by using two-factor approach. Lipopolysaccharide (LPS), a bacterial toxin, and NAN-190, a $5-HT_{1A}$ receptor antagonist, were administered to Sprague-Dawley rats on postnatal day (PND) 5 to induce inflammation and an altered 5-HT system, respectively. Long-term alteration of behavior occurred in the drug-treated groups. The LPS-treated group showed impaired motor coordination in the Rota-rod test. The LPS- treated or both LPS and NAN-190-treated groups showed impaired fore-paw muscle power in the wire maneuver test. These groups also showed decreased white matter volume and increased serotonergic fibers. The LPS and NAN-190-treated group also exhibited neurologic deficit in the placing reaction test and impaired equilibrium function in the tilt table test. The results showed that a variety of altered behaviors can be generated by two factor model, and suggested that combination of important etiologic factors and possible underlying defects is a promising strategy of establishing an animal model for developmental disabilities.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2008년도 지능정보 및 응용 학술대회
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• pp.155-159
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• 2008

본 논문에서는 사상체질분류검사 설문지를 이용하여 사상체질을 진단할 때 진단의 정확도를 향상시키기 위한 사상체질 분류모형을 개발하기 위하여 데이터마이닝의 주요 분류기법인 판별분석(discriminant analysis), 의사결정나무(decision tree analysis), 신경망분석(neural network analysis), 로지스틱 회귀분석(logistic regression analysis), 군집분석(clustering analysis) 등 다양한 분류분석모형을 이용한다. 본 연구에서는 분류의 비교적 정확도가 우수하며, 특히 분석과정을 쉽게 이해하고 설명할 수 있다는 점과 구현이 용이하다는 장점을 가지고 있는 판별분석모형과 의사결정나무분석모형을 기반으로 사상체질 분류모형을 개발하고, 두 분류모형을 적용한 사상체질 진단시스템을 구현하였다.

• 한국의학물리학회지:의학물리
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• 제32권4호
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• pp.137-144
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• 2021

Purpose: This study aimed to investigate the accuracy of head scatter factor (S_c) by applying a developed multi-leaf collimator (MLC) scatter source model for an unflattened photon beam. Methods: Sets of S_c values were measured for various jaw-defined square and rectangular fields and MLC-defined square fields for developing dual-source model (DSM) and MLC scatter model. A 6 MV unflattened photon beam has been used. Measurements were performed using a 0.125 cm³ cylindrical ionization chamber and a mini phantom. Then, the parameters of both models have been optimized, and S_c has been calculated. The DSM and MLC scatter models have been verified by comparing the calculated values to the three S_c set measurement values of the jaw-defined field and the two S_c set measurement values of MLC-defined fields used in the existing modeling, respectively. Results: For jaw-defined fields, the calculated S_c using the DSM was consistent with the measured S_c value. This demonstrates that the DSM was properly optimized and modeled for the measured values. For the MLC-defined fields, the accuracy between the calculated and measured S_c values with the addition of the MLC scatter source appeared to be high, but the only use of the DSM resulted in a significantly bigger differences. Conclusions: Both the DSM and MLC models could also be applied to an unflattened beam. When considering scattered radiation from the MLC by adding an MLC scatter source model, it showed a higher degree of agreement with the actual measured S_c value than when using only DSM in the same way as in previous studies.

• The Journal of Advanced Prosthodontics
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• 제15권3호
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• pp.145-154
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• 2023

PURPOSE. The objective of this study was to investigate how internal structures influence the overall and marginal accuracy of full arch preparations fabricated through additive manufacturing in different printing systems. MATERIALS AND METHODS. A full-arch preparation digital model was set up with three internal designs, including solid, hollow, and grid. These were printed using three different resin printers with nine models in each group. After scanning, each data was imported into the 3D data processing software together with the master cast, aligned and trimmed, and then put into the 3D data analysis software again to compare the overall and marginal deviation whose results are expressed using root mean square values and color maps. To evaluate the trueness of the resin model, the test data and reference data were compared, and the precision was evaluated by comparing the test data sets. Color maps were observed for qualitative analysis. Data were statistically analyzed by one-way analysis of variance and Bonferroni method was used for post hoc comparison (α = .05). RESULTS. The influence of different internal structures on the accuracy of 3D printed resin models varied significantly (P < .05). Solid and grid models showed better accuracy, while the hollow model exhibited poor accuracy. The color maps show that the resin models have a tendency to shrink inwards. CONCLUSION. The internal structure design influences the accuracy of the 3D printing model, and the effect varies in different printing systems. Irrespective of the kind of printing system, the printing accuracy of hollow model was observed to be worse than those of solid and grid models.