• The Korean Journal of Pain
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• v.11 no.2
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• pp.273-282
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• 1998

Background: Twelve years have passed since the Korean Pain Society was organized. Nowadays, there are so many problems to be solved in pain clinics including health insurance, pain education and public information etc. in Korea. The present study was designed to evaluate the current status of pain clinics in Korea. Methods: Eight hundred twenty regular members of Korean Pain Society were surveyed by questionnaire in October 1997. We compared the general characteristics, contents of diseases in pain clinic, treatment Methods, patients satisfaction, pain educations, problems in pain treatments, requests to Korean Pain Society among the 138 respondents. Results: Thirty seven percents of the respondents worked at university hospitals, 39% at non-university hospitals and 24% at private pain clinics. The most common diseases treated in pain clinics was low back pain(32% in university and non-university hospital and 28% in private pain clinic respectively). However, cancer pain was 10% in university and non-university hospital and 0.7% in private pain clinic. Epidural block was the most frequently used procedure in chronic pain treatments. And 74.6% of the respondents were studied and learned in Korea and Japan. And then, current problems in pain management and requests to Korean Pain Society were medical insurance problems, pain education and public information of pain clinics. Conclusions: These results suggest that the Korean Pain Society should make an effort to solve these current problems in order to activate pain medicine and increase the quality of life for those suffering from pain.

• Quality Improvement in Health Care
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• v.2 no.2
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• pp.46-54
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• 1996

Background : The medical record is a compilation of pertinent facts of a patient's life and health history, including past and present illness and treatment. It is written by the health professionals contributing to that patient's care. And the medical record is the permanent, legal document which must contain sufficient information to identify the patient, justify the diagnosis and treatment, and record the results. As such, it must be accurate and complete. So we try to analyze the medical record especially a kind of incomplete record, loose laboratory reports. Methods: During the one-year period(from January to December 1988), a medical record practitioner examine and analyze the record of laboratory reports at K Hospital in Seoul. A total of 320 loose laboratory reports for 3,818 admitted laboratory reports. And a medical record practitioner and a physician review and analyze the influencing factors for the various reasons of clinical and laboratory aspects. Result: The loose percentage by department is the highest in obstetrics(40.4%) but the highest loose rate is in pediatrics(25.0%). The most of omission is occurred in operation room(80.3%) than OPD(19.7%). The change of diagnosis is according to duration of laboratory and more changable in cancer patient. Conclusion : Regular analysis of the documentation in the medical record so it fulfills its purposes of communicating patient care information. So it serves as evidence of the patient's course of illness and treatment for various legal, reimbursement, and peer evaluation review. And it is very important aspect of quality assurance in medical activities.

• Journal of Radiation Protection and Research
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• v.44 no.4
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• pp.149-155
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• 2019

Background: Magnetic resonance (MR) image guided radiation therapy system, enables real time MR guided radiotherapy (RT) without additional radiation exposure to patients during treatment. However, MR image lacks electron density information required for dose calculation. Image fusion algorithm with deformable registration between MR and computed tomography (CT) was developed to solve this issue. However, delivered dose may be different due to volumetric changes during image registration process. In this respect, synthetic CT generated from the MR image would provide more accurate information required for the real time RT. Materials and Methods: We analyzed 1,209 MR images from 16 patients who underwent MR guided RT. Structures were divided into five tissue types, air, lung, fat, soft tissue and bone, according to the Hounsfield unit of deformed CT. Using the deep learning model (U-NET model), synthetic CT images were generated from the MR images acquired during RT. This synthetic CT images were compared to deformed CT generated using the deformable registration. Pixel-to-pixel match was conducted to compare the synthetic and deformed CT images. Results and Discussion: In two test image sets, average pixel match rate per section was more than 70% (67.9 to 80.3% and 60.1 to 79%; synthetic CT pixel/deformed planning CT pixel) and the average pixel match rate in the entire patient image set was 69.8%. Conclusion: The synthetic CT generated from the MR images were comparable to deformed CT, suggesting possible use for real time RT. Deep learning model may further improve match rate of synthetic CT with larger MR imaging data.

• Journal of the Korean Data and Information Science Society
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• v.26 no.1
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• pp.101-109
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• 2015

SMRs (standardized mortality rates) for major diseases, accidents, cancer are considered in small areas of administrative units such as Eup/Myeon/Dong from years 2005 to 2008. Due to small sample issue in small areas, the precision of directly estimated crude SMR for each area can be low. In this study, we consider the HGLM (hierarchical generalized linear model) with MRF (Markov random field) to account for the spatial correlations among the small areas. The effects of covariates for cause of mortality by Dongs in Seoul and disease maps based on the estimated SMR are presented. The results suggest how we analyze and interpret the difference in mortalities by small areas such as Dongs by revealing the spatial patterns.

• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.179-185
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• 2020

In this paper, we propose impact factors and validity of blood variables on death of COVID-19 patients. The clinical-epidemiological data of 5628 COVID-19 patients, provided from Korea Disease Control and Prevention Agency as day of 30th April 2020, were used. As results, impact factors of death were dementia, older age, high lymphocyte, cancer, dyspnea, COPD, change of consciousness, heart disease, high platelets, abnormal diastolic pressure and fever. The validities of blood variables for death were high in the order of lymphocyte, hemoglobin, hematocrit, platelet and WBC. Therefore, risk factors such as initial clinical characteristics, underlying disease and blood test results, could be regarded for efficient management of COVID-19 patients.

• Journal of Environmental Impact Assessment
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• v.5 no.1
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• pp.47-60
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• 1996

Nitrate contamination problems from groundwater supplies have been reported throughout many countries in the world, including Korea. Nitrate salts can induce methemoglobinemia and possibly human gastric cancer. To reduce human health risk from nitrate in groundwater supplies, several nitrate risk-management strategies can be developed based on the acceptable level of human health risk, the reasonableness of nitrate-control cost, and the technical feasibility of nitrate-control methods. However, due to a lack of available information, assessing risk, cost and technical feasibility contains elements of uncertainty. In the present paper, a nitrate risk-management methodology using fuzzy sets in combination with a multiobjective decision-making (MODM) technique is developed to assist decision makers in evaluating, with uncertain information, various nitrate risk-management strategies in order to decide a proper strategy.

• Journal of Korea Multimedia Society
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• v.13 no.5
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• pp.702-709
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• 2010

The performance of mass segmentation is greatly influenced by an initial position of a mass. Some researchers performed mass segmentation with the initial position of a mass given by radiologists. The purpose of our research is to find the initial position for mass segmentation and to notify the segmented mass to radiologists without any additional information on mammograms. The proposed system consists of breast segmentation by region growing and opening operations, decision of an initial seed with characteristics of masses, and mass segmentation by a level set segmentation. A seed for mass segmentation is set based on mass scoring measure calculated by block-based variances and masked information in a sub-sampled mammogram. We used a DDSM database to evaluate the system. The accuracy of mass detection is 78% sensitivity at 4 FP/image, and it reached 92% if multiple views for masses were considered.

• The KIPS Transactions:PartB
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• v.13B no.3 s.106
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• pp.323-328
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• 2006

Proteins in a cell appear as spots in a two dimensional gel image which is used in protein analysis. The spots from the same protein are in near position when comparing two gel images. Finding out the different proteins between a normal tissue and a cancer one is important information in drug development. Automatic matching of gel images is difficult because they are made from biological experimental processes. This matching problem is known to be NP-hard. Neural networks are usually used to solve such NP-hard problems. Hopfield neural network is selected since it is appropriate to solve the gel matching. An energy function with location and distance parameters is defined. The two spots which make the energy function minimum are matching spots and they came from the same protein. The energy function is designed to reflect the topology of spots by examining not only the given spot but also neighborhood spots.

• Journal of Internet Computing and Services
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• v.19 no.4
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• pp.15-26
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• 2018

This study focused on the difference of the volume of sanitory pad issue and The aim of this study is to explore the relationship between the characteristics of SNS and the diffusion of issue in the process of crisis issue. SNS is categorized into communication diffusion, communication restriction,, diffusion, restriction base on the media interactivity and the user interactivity, In case of Twitter, media interactivity is low and user interactivity is low. In case of Youtube, media interactivity and user interactivity are all high. Crisiss issue is interactively diffused via Youtube compared to via Twitter. There was a negative public opinion in social media even if the government and the manufacturer said that there was no harm in the sanitary goods. In conclusion, this study highlights the importance of social media environment in the diffusion of information. The government prepared for the use of SNS in crisis because there was a negative opinion on the government and the manufacturer via SNS.

• Journal of Korean Academy of Nursing Administration
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• v.13 no.2
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• pp.254-262
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• 2007

연구목적: 본 연구는 암 간호정보체계에 사용될 한국 6대 암 환자의 핵심간호진단을 결정하기 위해 수행되었다. 핵심간호진단 은 6대 암, 각 환자 군의 간호를 위해 가장 자주 혹은 많이 사용되는 일정의 간호진단 세트로 정의된다. 본 연구에서 6대 암 환자의 핵심간호진단을 결정하고자 하는 가장 큰 목적은 간호진단 과정에서의 편리성을 높임으로써 앞으로 개발될 암 간호정보체계의 유용성과 사용가능성을 높이기 위함이다. 연구방법: 핵심간호진단은 조사연구를 통해 결정하였으며, 결정된 진단들은 문헌고찰과 환자기록 분석을 통해 그 타당도를 확인하였다. 환자기록 분석은 특히 조사연구 결과의 타당도를 확인하기 위해 사용되었다. 조사연구에 사용된 도구 및 환자기록에 나타난 간호진단 혹은 간호문제의 교차분석을 위해서는 NANDA Taxonomy II에 포함된 간호진단이 사용되었다. 219명의 경력간호사가 조사연구에 참여하였으며, 72개의 환자기록이 분석되었다. 핵심간호진단은 암 간호 정보체계의 언어개발을 위해 구성된 전문가 집단에 의해 조사연구 참여자의 20% 이상이 선택한 NANDA 간호진단으로 정하였다. 연구결과: 16개 ${\sim}$ 20개의 NANDA 간호진단이 한국 6대 암, 각 환자군의 핵심간호진단으로 선정되었다. 핵심간호진단 중 '급성통증', '만성통증', '불안', '감염가능성', '피로' 등이 6대 암 환자 군에 모두 포함되었다. 결론: 핵심간호진단의 타당도는 환자기록 분석과 문헌고찰을 통해 확인되었다. 이들 핵심진단은 암 간호정보체계에 사용되어 간호진단 적용을 촉진함으로써 암 환자 간호의 질 향상에 기여할 수 있을 것이다.