• Journal of East-West Nursing Research
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• v.30 no.1
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• pp.10-21
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• 2024

Purpose: The purpose of this study are to understand the meaning and essential structure of clinical nurses' experiences of verbal violence and find nursing intervention for them by applying phenomenological research method. Methods: The participants in this study were seven clinical nurses with experience of verbal violence. Data collection were conducted from August 2016 through January 2017 until data saturation. Data analysis was performed through a cyclical process of data collection and analysis by applying Giorgi's phenomenological method. Results: Four categories were identified: A weapon of the mind: the shock of verbal abuse; negative emotions that shake my heart; skepticism about the value and meaning of a job; an unforgettable wound. Conclusions: The results of this study provide a deeper understanding of the pain caused by verbal violence experienced by nurses from their care recipients. These results suggest that nursing interventions for nurses with experience of verbal violence will contribute to resolving the problem.

• Journal of Acupuncture Research
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• v.25 no.2
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• pp.139-149
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• 2008

Objectives : The 7-zone-diagnostic system is a diagnostic device to predetermine bodily locations by measuring the energy of body. This study was to investigate the relation between the different patterns of Zone 2, 6 of Factor AA in VEGA DFM 722(VEGA, Germany), 7-zone-diagnostic system and clinical parameters. The purpose of this study was relation Korean traditional medicine and western medicine with the data from 7-zone-diagnostic system and the clinical parameters. Methods : This study was carried out with the data from some clinical parameters. We made two groups according to the Factor AA patterns of VEGA DFM 722. The Factor AA pattern of Group A is that the red bar graph of zone 2 was higher than the normal range and the red bar graph of zone 6 was lower than the normal range. The Factor AA pattern of Group B was that the red bar graph of zone 2 was lower than the normal range and the red bar graph of zone 6 was higher than the normal range. After the data from clinical parameters to correspond with conditions of each group were selected, the data from clinical parameters between each gropus analyzed statistically. Results and Conclusions : The values of Direct Bilirubin, GOT, BUN and BUN/Creatinine ratio of Group A were higher than them of Group B. The values of Sodium and Tyroxine of Group A were lower than them of Group B. These results mean that Group A has low energy but has increading tendency. To conclude, it is thought that the red bar graph of zone 2 is higher, the group is the more increasing and the red bar graph of zone 6 is lower, the group has the lower energy.

• Journal of Acupuncture Research
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• v.25 no.6
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• pp.67-76
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• 2008

Objectives : The 7-zone-diagnostic system is a diagnostic device to predetermine bodily locations by measuring the energy of body. This study was to investigate the relation between the different patterns of Zone 1, 2, 3 of Factor AA in CP-6000A(VEGA, Germany), 7-zone-diagnostic system and clinical parameters. The purpose of this study was relation Korean traditional medicine and western medicine with the data from 7-zone-diagnostic system and the clinical parameters. Methods : This study was carried out with the data from some clinical parameters. We made three groups according to the Factor AA patterns of CP-6000A. The Factor AA pattern of Group A is that the red bar graph of zone 1, 2, 3 were higher than the normal range and the others were the normal range. The Factor AA pattern of Group B was that the red bar graph of zone 1, 2, 3 was the normal range and the others were the normal range. The Factor AA pattern of Group C was that the red bar graph of zone 1, 2, 3 was lower than the normal range and the others were the normal range. After the data from clinical parameters to correspond with conditions of each group were selected, the data from clinical parameters among each groups analyzed statistically. Results : The values of GOT, GPT, r-GPT, Triglyceride, BUN, Uric acid of group A was higher than group C. Gastroscope of group A and B was higher than group C. Conclusions : It is thought that the red bar graph of zone 1, 2, 3 is higher, the group has the higher energy and the energy has a character of fire(熱). Those patterns have a high risk of hyperlipermia and liver, stomach disease.

• Journal of Korean Academy of Nursing Administration
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• v.7 no.2
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• pp.237-251
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• 2001

It is important for nursing managers to understand the lived experience of nursing care for dying patients in clinical nurses for the effective management of them. The purpose of this Phenomenological study was to explore the lived experience of nursing care for the dying patients in clinical nurses and identify the meaning and structure of their lived experience. This study was conducted from 1 of June, 2000 to 1 of November, 2000. Data were collected with several in-depth interviews until data were fully saturated, from 1 of June, 2000 to 10 of September, 2000. The Subjects were five nurses who had more than three-year job experience in caring for dying patients, three protestant christians and two atheists, one married and four unmarried persons. The range of their age was from 28 to 36. Data were analysed by the Colaizzi's methodology. Ten themes were extracted from fifty-one fomulated-meanings. Fomulated-meanings were extracted from the restatements and the significant-statements which were deriven from the raw data. Finally ten themes took form of five structures. Five structures of 'The lived experience of nursing care for the dying patients in clinical nurses' were : 1. Experiencing guilty feeling and anger due to their and other's manneristic and ignored attitude toward dying patients 2. Feeling heartily the necessity of the education of hospice care because of their incompetence due to lack of knowledge of hospice care 3. Recognizing the human rights of dying patient's thinking themselves and their families 4. Felling satisfaction with their nursing accomplishments and reflecting their life through nursing care of the dying patients 5. Experiencing low self-respect due to the other's negative perspective toward their job The results of the study would give useful information to nursing managers to understand the lived experience of nursing care for dying patients in clinical nurses and establish adequate strategies to support them.

• Journal of Gastric Cancer
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• v.16 no.2
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• pp.93-97
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• 2016

Several prospective studies on laparoscopy-assisted distal gastrectomy for early gastric cancer have been initiated, but no prospective study evaluating laparoscopy-assisted total gastrectomy or laparoscopy-assisted proximal gastrectomy has been completed to date. A non-randomized confirmatory trial was commenced in April 2015 to evaluate the safety of laparoscopy-assisted total gastrectomy and laparoscopy-assisted proximal gastrectomy for clinical stage I gastric cancer. A total of 245 patients will be accrued from 42 Japanese institutions over 3 years. The primary endpoint is the proportion of patients with anastomotic leakage. The secondary endpoints are overall survival, relapse-free survival, proportion of patients with completed laparoscopy-assisted total gastrectomy or laparoscopy-assisted proximal gastrectomy, proportion of patients with conversion to open surgery, adverse events, and short-term clinical outcomes. The UMIN Clinical Trials Registry number is UMIN000017155.

• The Journal of Korean Academic Society of Nursing Education
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• v.7 no.2
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• pp.333-348
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• 2001

The study was intended to investigate the degree of satisfaction and experiences of maternity nursing practice and to examine the relationships between satisfaction and experiences. Data were collected from a college located in Inchon from April 2, 2001 to October 30, 2001. A general characteristics questionnaires, questionnaire for clinical practice satisfaction and maternity nursing clinical checklist were used to measure the satisfaction and experiences of maternity nursing practice. The subject were supposed to record their clinical experience in maternity clinical practice checklist. 153 questionnaires for satisfaction of clinical practice and 178 maternity nursing clinical practice checklists used for analysis. The data were analyzed by SPSS-PC+ program. The results of this study were as follows ; 1) The mean score of satisfaction of clinical practice was 3.34(a perfect score 5) and among the 4 categorial components from the questionnaire of satisfaction the score of 'clinical practice teaching' was high(3.85) and 'clinical practice environment(2.91)' and 'clinical practice contents(2.90)' was relatively low. 2) There was significant value between place of clinical practice and clinical practice satisfaction among 7 clinical practice hospital and the most high score of clinical practice satisfaction is 3.70 and the low score is 2.91(F=7.706, p<.001). The score of delivery room was significantly higher than the OBGY room and there was significant value among the place of clinical practice(DR : F= 6.441, p<.001, OBGY room : F=7.908, p<.001). 3) In delivery room, the frequency of observation are 2.61 day, the frequency of practice are 1.33 day and in OBGY room the frequency of observation are 1.73 day, the frequency of practice are 1.31 day for 2 week of maternity clinical practice and the most frequent practice of maternity nursing care was checking vital sign. 4) There were significant relationships between the ranking score of clinical satisfaction and clinical experiences in maternity nursing practice. Based on the results, it is suggested that the satisfaction of clinical practice was related to environment of clinical practice and it is necessary to improve environment of clinical practice and make a strategies to enhance the quality of maternity clinical experience.

• Journal of Digital Convergence
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• v.11 no.8
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• pp.293-302
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• 2013

So far, DW(data warehouse) of hospital has been used as tool for analyzing patient-focused data. However, EMR(Electronic Medical Record) is established these days, so informal data which is record and video record could be useful to get some information for patient remedy, not as DW data. This study claims that need of establishing treatment-focused DW, not for hospital administration-focused DW which has been used lots of hospital DW. Also we discussed how CDW can be applied for real medication situation. At last, we deduct a relation past record of sick and wounded patient as Thesaurus searching method by real hospital data for establishing base of early-treatment system.

• Journal of Korea Artificial Intelligence Association
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• v.2 no.1
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• pp.7-14
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• 2024

In this paper, we explore the application of RNA-sequencing data and ensemble machine learning to predict lung cancer and treatment strategies for lung cancer, a leading cause of cancer mortality worldwide. The research utilizes Random Forest, XGBoost, and LightGBM models to analyze gene expression profiles from extensive datasets, aiming to enhance predictive accuracy for lung cancer prognosis. The methodology focuses on preprocessing RNA-seq data to standardize expression levels across samples and applying ensemble algorithms to maximize prediction stability and reduce model overfitting. Key findings indicate that ensemble models, especially XGBoost, substantially outperform traditional predictive models. Significant genetic markers such as ADGRF5 is identified as crucial for predicting lung cancer outcomes. In conclusion, ensemble learning using RNA-seq data proves highly effective in predicting lung cancer, suggesting a potential shift towards more precise and personalized treatment approaches. The results advocate for further integration of molecular and clinical data to refine diagnostic models and improve clinical outcomes, underscoring the critical role of advanced molecular diagnostics in enhancing patient survival rates and quality of life. This study lays the groundwork for future research in the application of RNA-sequencing data and ensemble machine learning techniques in clinical settings.

• Annals of Clinical Neurophysiology
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• v.2 no.1
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• pp.8-12
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• 2000

Purpose : The rapid development and wide popularity of Digital EEG(DEEG) is due to its convenience, accuracy and applicability for quantitative analysis. These advantages of DEEG make one hesitate to use analog EEG(AEEG). To assess the advantage of DEEG system utilizing AEEG(DAEEG) over conventional AEEG and the clinical applicability, a DAEEG system was developed and applied to animal model Methods : Sprague-Dawley rat as status epilepticus model were used for collecting the EEG data. After four epidural electrodes were inserted and connected to 8-channel analog EEG(Nihon-Kohden, Japan), continous. EEG monitoring via computer screen was done from two rats simultaneously. EEG signals through analog amplifier and filters were digitized at digital signal processor and stored in Windows-based pentium personal computer. Digital data were sampled at a rate of 200 Hz and 12 bit of resolution. Acquisition software was able to carry out 'real-time view, sensitivity control and event marking' during continuous EEG monitoring. Digital data were stored on hard disk and hacked-up on CD-ROM for off-line review. Review system consisted of off-line review, saving and printing out interesting segment and annotation function. Results: This DAEEG system could utilize most major functions of DEEG sufficiently while making a use of an AEEG. It was easy to monitor continuously compared to Conventional AEEG and to control sensitivity during ictal period. Marking the event such as a clinical seizure or drug injection was less favorable than AEEG due to slowed processing speed of digital processor and central processing unit. Reviewing EEG data was convenient, but paging speed was slow. Storage and management of data was handy and economical. Conclusion : Relatively simple digital EEG system utilizing AEEG can be set-up at n laboratory level. It may be possible to make an application for clinical purposes.

• Journal of Biomedical Engineering Research
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• v.44 no.4
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• pp.255-263
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• 2023

Clinical ultrasound (US) is a widely used imaging modality with various clinical applications. However, capturing a large field of view often requires specialized transducers which have limitations for specific clinical scenarios. Panoramic imaging offers an alternative approach by sequentially aligning image sections acquired from freehand sweeps using a standard transducer. To reconstruct a 3D volume from these 2D sections, an external device can be employed to track the transducer's motion accurately. However, the presence of optical or electrical interferences in a clinical setting often leads to incorrect measurements from such sensors. In this paper, we propose a deep learning (DL) framework that enables the prediction of scan trajectories using only US data, eliminating the need for an external tracking device. Our approach incorporates diverse data types, including correlation volume, optical flow, B-mode images, and rawer data (IQ data). We develop a DL network capable of effectively handling these data types and introduce an attention technique to emphasize crucial local areas for precise trajectory prediction. Through extensive experimentation, we demonstrate the superiority of our proposed method over other DL-based approaches in terms of long trajectory prediction performance. Our findings highlight the potential of employing DL techniques for trajectory estimation in clinical ultrasound, offering a promising alternative for panoramic imaging.