• Journal of the Korean Applied Science and Technology
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• v.40 no.6
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• pp.1413-1424
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• 2023

Virtual reality (VR) simulation in nursing education, especially in the teaching of VR simulations just prior to clinical practice, has the potential to enhance the effectiveness of clinical practice and better prepare nursing students for patient care. The aim of this study was to evaluate the effect of a preclinical VR simulation education program on the development of critical thinking, self-efficacy, problem-solving ability, and perceived clinical competency among undergraduate nursing students. The study was conducted between May and June 2021 using a pretest-posttest design with a control group. A total of 42 nursing students were recruited through convenience sampling from two separate classes. The intervention group participated in VR simulation education, while the control group engaged in lecture-based education, before beginning clinical practice. Assessments were conducted before preclinical education and after completing clinical practice using structured questionnaires. The data was analyzed using chi-square tests, independent t-tests, and ANCOVA. The findings indicated that the intervention group had a significantly higher score in perceived clinical competency compared to the control group (F = 5.25, p = 0.029) after controlling for pretest scores. However, there were no statistically significant differences in critical thinking, self-efficacy, or problem-solving abilities between the two groups. These findings suggest that preclinical VR simulation education is partially effective in preparing nursing students for their clinical practice, underscoring the need for a balanced educational approach that integrates VR with clinical practice to develop a full spectrum of nursing skills and knowledge.

• Korean Journal of Veterinary Pathology
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• v.1 no.1
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• pp.46-52
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• 1997

The hematology and clinical chemistry data based on the well defined normal data are essential in the safety assessment. It is important that normal values of cliniclal pathology parameters would be optimized to be accurate. So the purpose of this experiment was to compare the ranges of normal data in hematology value and serum chemistry between both sexes of F344 and Wistar rats at 5, 10, 20, 40 and 90 weeks. of age. The neutrophils eosinophils and monocytes increased with age in male Wistar rats. And serum total bilirubin and potassium were highest and alkaline phosphatase was lowest at 90 weeks in Wistar rats. As compared with Wistar rat the serum aspartate aminotransferase of F344 rats increased with age in both sexes but inorganic phosphorus decreased with age. The serum alkaline phosphatase decreased with age and potassium was highest at 90weeks. These normal data would be useful in improving the accuracy of clinical pathology value in the safety assessment.

• The Journal of Korean Medicine
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• v.28 no.2 s.70
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• pp.22-33
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• 2007

Uterine myoma is a benign tumor of smooth muscle in the uterine wall. Recently, in Oriental medicine, concerns about uterine myoma patients have increased. We analyzed the medical records for 944 patients, including 257 uterine myoma patients, who visited Dongeui University Oriental Medical Center from May 2001 to June 2006. We investigated the DSOM (Diagnosis System of Oriental Medicine) symptom scores which effect uterine myoma patients using stepwise logistic regression model. Logistic regression analysis indicated as follows: In the control group composed of 558 outpatients, 18 items of DSOM were associated with myoma, 9 positively and 9 negatively, and the results showed that the correct rate was equal to 81.1%, sensitivity 72.8%, and specificity 84.9%. In 129 clinical trials data, 33 items of DSOM were associated with myoma, 18 positively and 15 negatively, and the results showed that the correct rate was equal to 85.8%, sensitivity 84.8%, and specificity 87.6%. In 687 outpatient and clinical trials data, 18 items of DSOM were associated with myoma, 10 positively and 8 negatively, and the results showed that the correct rate was equal to 82.8%, sensitivity 70.8%, and specificity 87.3%.

• Translational and Clinical Pharmacology
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• v.26 no.4
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• pp.155-159
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• 2018

For regulatory approval of a new drug, the most preferred and reliable source of evidence would be randomized controlled trials (RCT). However, a great number of drugs, being developed as well as already marketed and being used, usually lack proper indications for children. It is imperative to develop properly evaluated drugs for children. And expanding the use of already approved drugs for other indications will benefit patients and the society. Nevertheless, to get an approval for expansion of indications, most often with off-label experiences, for drugs that have been approved or for the development of pediatric indications, either during or after completing the main drug development, conducting RCTs may not be the only, if not right, way to take. Extrapolation strategies and modelling & simulation for pediatric drug development are paving the road to the better approval scheme. Making the use of data sources other than RCT such as EHR and claims data in ways that improve the efficiency and validity of the results (e.g., randomized pragmatic trial and randomized registry trial) has been the topic of great interest all around the world. Regulatory authorities should adopt new methodologies for regulatory approval processes to adapt to the changes brought by increasing availability of big and real world data utilizing new tools of technological advancement.

• Korean Journal of Radiology
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• v.24 no.12
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• pp.1306-1308
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• 2023

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.203-212
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• 2002

This study examined the predictive power of data mining algorithms by comparing the performance of logistic regression and decision tree algorithm, called CHAID (Chi-squared Automatic Interaction Detection), On the contrary to the previous studies, decision tree performed better than logistic regression. We have also developed a CDSS (Clinical Decision Support System) with three modules (doctor, nurse, and patient) based on data warehouse architecture. Data warehouse collects and integrates relevant information from various databases from hospital information system (HIS ). This system can help improve decision making capability of doctors and improve accessibility of educational material for patients.

• Journal of Biomedical Engineering Research
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• v.18 no.2
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• pp.121-126
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• 1997

Endoscopy has become a crucial diagnostic and therapeutic procedure in clinical areas. Over the past three years, we have developed a computerized system to record and store clinical data pertaining to endoscopic surgery of laparascopic cholecystectomy, pelviscopic endometriosis, and surgical arthroscopy. In this study, we developed a computer system, which is composed of a frame yabber, a sound board, a VCR control board, a LAN card and EDMS(endoscopic data management software. Also, computer system has controled peripheral instruments such as a color video printer, a video cassette recorder, and endoscopic input/output signals(image and doctor's comment). Digital endoscopic data management system is based on open architecture and a set of widely available industry standards, namely: windows 3.1 as a operating system, TCP/IP as a network protocol and a time sequence based database that handles both images and doctor's cotnments. For the purpose of data storage, we used MOD and CD-R. Digital endoscopic system was designed to be able to store, recreate, change, and compress signals and medical images.

• The Korean Journal of Applied Statistics
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• v.25 no.6
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• pp.947-958
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• 2012

When modeling event times in biomedical studies, the outcome might be incompletely observed. In this paper, we assume that the outcome is recorded as current status failure time data. Despite well-developed literature the routine practical use of many current status data modeling methods remains infrequent due to the lack of specialized statistical software, the difficulty to assess model goodness-of-fit, as well as the possible loss of information caused by covariate grouping or discretization. We propose a model based on pseudo-observations that is convenient to implement and that allows for flexibility in the choice of the outcome. Parameter estimates are obtained based on generalized estimating equations. Examples from studies in bile duct hyperplasia and breast cancer in conjunction with simulated data illustrate the practical advantages of this model.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.7
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• pp.2191-2208
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• 2022

Motion blur in PET (Positron emission tomography) images induced by respiratory motion will reduce the quality of imaging. Although exiting methods have positive performance for respiratory motion correction in medical practice, there are still many aspects that can be improved. In this paper, an improved 3D unsupervised framework, Res-Voxel based on U-Net network was proposed for the motion correction. The Res-Voxel with multiple residual structure may improve the ability of predicting deformation field, and use a smaller convolution kernel to reduce the parameters of the model and decrease the amount of computation required. The proposed is tested on the simulated PET imaging data and the clinical data. Experimental results demonstrate that the proposed achieved Dice indices 93.81%, 81.75% and 75.10% on the simulated geometric phantom data, voxel phantom data and the clinical data respectively. It is demonstrated that the proposed method can improve the registration and correction performance of PET image.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.669-678
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• 2017

This study aimed to identify the mediating effect of resilience on the relationship between stress during clinical practices and clinical competence in nursing students. A total of 137 senior nursing students in three different universities located in C city were included. The study period was between October 15 and November 15, 2016, and the data were collected using by structured questionnaires. Collected data were analyzed by descriptive analysis, t-test, ANOVA, Pearson's correlation, and Multiple regression using the SPSS 22.0 statistical program. The average score of stress in clinical practice, clinical competence, and resilience were $3.09{\pm}0.43$, $3.54{\pm}0.45$ of 5 and $4.93{\pm}0.66$ of 7. There were significantly negative correlations between stress in clinical practice and resilience (r=-.24, p=.005), as well as stress in clinical practice and clinical competencies (r=-.21, p=.012), while there were significantly positive correlations between resilience and clinical competencies (r=.59, p<.001). Resilience had a full mediated effect between stress in clinical practices and clinical competencies, which showed the significance upon Sobel test (Z=-3.02, p=.003). Therefore, it is suggested that various training courses and programs for strengthening resilience should be developed and applied to nursing curriculum.