• Journal of agricultural medicine and community health
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• v.17 no.2
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• pp.103-111
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• 1992

In order to estimate the level of illness and the pattern of 2 week - prevalence of morbidity by demographic and socioeconomic factors among the inhabitants in Wando district which is located off the southern seashore from mainland Korea, the household interview survey was performed to the sample population selected by stratified proportional random sampling method from January 15 to 30, 1990 in Wan-do Gun, Chonnam province. The data were collected from 5,134 family members of 1,234 households which were 5.2% of total households of the area. The results observed were following: 1. The 2 week-prevalence was 12.1%. 2. There was no significant difference of 2 week-prevalence between male and female, and that was higher in lower income group and longer duration of residence group and larger number of household group.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.08a
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• pp.187-192
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• 2008

최근 자신의 건강에 대한 관심이 고조되고 있는 반면, 현재 대부분 On-line에서 제공되는 진단 서비스 시스템은 질병 명을 이용하여 질병에 대한 처방이나 민간요법 등을 제시하고 있다. 이에 질병에 대해 전문지식이 부족한 일반인들이 이용하기에는 어려움이 있다. 따라서 본 논문에서는 On-line에서 퍼지 ART 알고리즘을 이용하여 사용자가 제시한 증상을 바탕으로 이미 학습되어진 질병의 증상과 비교하여 신경망을 통해 유사도가 높은 상위 3개의 질병을 도출한다. 도출된 질병에 대해 질병의 전체적인 증상과 동의보감에서 제시한 민간요법을 결과로 출력한다. 질병 데이터베이스는 서울대학교에서 교육용으로 출판한 가정의학(家庭醫學)을 기초로 동의보감과 한방의학백과서적을 통해 한의학 전문의의 검증을 거쳐 생성하였다. 그리고 본 시스템은 전문의의 상담시스템을 지원한다. 전문의의 상담시스템을 이용하여 자택 및 직장에서 편리하게 전문의의 진료와 소견을 받을 수 있도록 하였다. 전문의 상담 시스템은 전문의가 서버에 접속한 상태에서 사용자의 진로 신청으로 연결되며, 텍스트 데이터 및 기존의 진료기록이 있다면 이를 기반으로 전문의의 진단을 유도하도록 한다. 제안된 한방 자가 진단 시스템을 한의학 전문의가 분석한 결과 기존의 질병 진단 시스템 보다 일반성이 개선된 것을 확인하였다.

• Journal of Industrial Convergence
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• v.22 no.1
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• pp.177-183
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• 2024

The study investigates the impact of data quality on the performance of artificial intelligence (AI). To this end, the impact of labeling error levels on the performance of artificial intelligence was compared and analyzed through simulation, taking into account the similarity of data features and the imbalance of class composition. As a result, data with high similarity between characteristic variables were found to be more sensitive to labeling accuracy than data with low similarity between characteristic variables. It was observed that artificial intelligence accuracy tended to decrease rapidly as class imbalance increased. This will serve as the fundamental data for evaluating the quality criteria and conducting related research on artificial intelligence learning data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.395-400
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• 2020

Pigs have been used widely in biomedical research owing to their physiologic and anatomic similarities to humans. Analysis of the hematologic and biochemical values in pigs is an important basis for biomedical research and veterinary clinical diagnosis, but research on transgenic pigs has been sparse. This study was conducted to obtain basic data on transgenic pigs and to describe and compare the reference values for hematologic and biochemical parameters in human tissue plasminogen activator (htPA) transgenic pigs vs normal pigs. Blood samples were obtained from 7 normal LY (Landrace-Yorkshire crossbred) pigs and 8 transgenic pigs and 16 hematologic and 15 serum biochemical parameters were tested. Among the hematologic parameters tested, significant differences were observed in the red blood cells (RBC), mean red blood cell hemoglobin (MCH), and lymphocytes (LYM), between the non-transgenic and transgenic pigs. Among the biochemical parameters tested, the blood urea nitrogen (BUN), total protein (TP), cholesterol (CHOL), alanine aminotransferase (ALT), creatinine (CREA), gamma glutamyl transpeptidase (GGT), globin (GOB), and amylase (AMYL) showed significant differences between the two groups. Thus, the values determined in this study can be used as basic reference values for transgenic pigs and will contribute to their use in biomedical research.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.547-557
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• 2022

Online learning at a medical school was evaluated and improved based on the results of the evaluation and the principles of online learning environments design. The purpose of this study was to compare the results of online learning satisfaction between semesters from medical students and professors. To evaluate online learning, satisfaction surveys for an online learning platform, student participation, learning methods, learning contents, student assessments, and learning supports were developed and distributed to research participants. 223 students and 37 professors participated for the 1st semester, and 218 students and 49 professors participated for the 2nd semester, and paired t-tests were used for the analysis. Student satisfaction for the online learning platform, learning methods, learning contents, and learning supports were positively changed. However, the differences in the satisfaction for the student participation and student assessments were not statistically significant. In particular, students' satisfaction in basic medical sciences and clinical medicine periods decreased, whereas students' satisfaction in preclinical medicine and clinical clerkship periods increased. Based on the results, this study will contribute to the improvement of online learning at medical schools.

• Progress in Medical Physics
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• v.2 no.2
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• pp.161-173
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• 1991

A statistical approach was carried out to analyze joint moments acting on the six subjects performing a right-handed seated task. The dynamic task analyzed consisted of moving a hand-held weight of lkg mass back and forth in front of a subject's chest at the shoulder level in an upright seated position. We used experimental data obtained in the Biomechanics Laboratory of the University of Michigan. Based on the acquired data from three trials by each subject, moments were calculated using a 3-dimensional biomechanical model at such articulations as wrist, elbow, shoulder, the third lumbar spine, hip, knee, and ankle joints. The linear correlation and the two way analysis of variance were applied to the calculated joint moments in order to investigate inter-subject and inter-trial varations. The results obtained showed that the largest magnitude and deviation of moment was found at the third lumbar spine, that any linear relationship could not be found between moment and its equivalents attempted in this study, and that the maximum value and deviation of moment acting on each joint were statistically the same for all three trials but those were statistically not the same for all six subjects.

• Progress in Medical Physics
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• v.19 no.3
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• pp.172-177
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• 2008

As a part of estimating quantitative radiation treatment doses, we produced a mathematical phantom based on the standard Korean male. Then, with the prostate as the source organ, we calculated the absorbed dose in the prostate and surrounding organs forecasted to occur during brachytherapy for prostate cancer. To simulate the procedure, we selected $^{25}I$ and $^{103}Pd$ useful in brachytherapy of the prostate as the radionucleids and made an assumption that 1 Ci of initial radioactivity is administered. As a result, we found that the prostate, as the source organ, indicated 101 Gy/Ci and 7.24 Gy/Ci, respectively, in case of $^{125}I$ and $^{103}Pd$. With the exception of the prostate, organs with high absorbed doses were found to be in the order of the penis and scrotum, sigmoid colon, testicles and the urinary bladder, which are relatively close to the prostate.

• Progress in Medical Physics
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• v.4 no.1
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• pp.29-39
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• 1993

Electron beams have found unique and complementary used in the treatment of cancer, but it's very difficult to delineate dose distribution, because of multi-collisions. Numerical solution is more usefull to describe electron distributed in tissue. A semi-empirical eqution is given for the dose at any point at various depths in water. This equation is a modificated model which was based on solutions of a general age diffusion equation. Parameters have been calulated from electron beams data with energies 6～18MeV form a LINAC for use in computerised dosimetry calculations. The depth doses and isodose curves are predicted as a function of the practical range, source skin distance and field size. Depth dose accuracy have been achieved 2% above 50% depth dose and 5% at lower doses, relative to maximum dose. Also, the shape of the isodose curves with the constrictions at higher dose and bulging ot lower values are accurately predicted. Computer calculated beams have been used to generate ever isodose distribution for certain clinical situations.

• The Korean Journal of Nuclear Medicine
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• v.38 no.2
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• pp.161-170
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• 2004

Molecular Nuclear Neuro-Imaging in "CNS" drug discovery and development tan be divided into four categories that are clearly inter-related.(1) Neuroreceptor mapping to examine the involvement of specific neurotransmitter system in CNS diseases, drug occupancy characteristics and perhaps examine mechanisms of action;(2) Structural and spectroscopic imaging to examine morphological changes and their consequences;(3) Metabolic mapping to provide evidence of central activity and "CNS fingerprinting" the neuroanatomy of drug effects;(4) Functional mapping to examing disease-drug interactions. In addition, targeted delivery of therapeutic agents could be achieved by modifying stem cells to release specific drugs at the site of transplantation('stem cell pharmacology'). Future exploitation of stem cell biology, including enhanced release of therapeutic factors through genetic stem cell engineering, might thus constitute promising pharmaceutical approaches to treating diseases of the nervous system. With continued improvements in instrumentation, identification of better imaging probes by innovative chemistry, molecular nuclear neuro-imaging promise to play increasingly important roles in disease diagnosis and therapy.

• Journal of Industrial Convergence
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• v.17 no.4
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• pp.103-115
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• 2019

Background: This study was conducted to identify the experiences of nursing students students who participated in jigsaw cooperative learning in medical terminology classes. Methods: Data were collected through in-depth individual interviews and analyzed using the Colaizzi phenomenological analysis methodology. Results: Six categories emerged through experiences of jigsaw cooperative learning of nursing students. The specific categories are 'two contrasting emotions that exist under consciousness', 'progression towards self-directed learning', 'resurrection of community spirit', 'facing the growing self', 'realistic limits', and 'co-operation that has risen above consciousness'. Conclusion: Jigsaw cooperative learning enhances nursing students' self-directed learning and community consciousness. It is a very useful teaching and learning method that encourages growth through community spirit and cooperation. In the future, we propose a study using jigsaw-cooperative learning in various classes.