• Journal of Home Health Care Nursing
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• v.21 no.2
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• pp.120-126
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• 2014

Purpose: This study was carried out to investigate the effect of a decrease in indwelling catheter size and preoperative education on bladder discomfort and nursing needs. The study was conducted on patients in the recovery room after their surgery. Methods: This study is a randomized control trial. Data were collected from September 2011 to February 2012 at a university hospital in Bundang, Korea. The sample consisted of 75 patients, excluding one patient from the experimental group 2. From among the patients that were sent to the ICU, 24 were in experimental group 1, 24 were in experimental group 2, and 27 were in the control group. Data were collected and analyzed using a chi-square test, t-test, and one-way ANOVA. Results: There were significant differences between the bladder discomfort experienced by patients in experimental group 1 and the control group, and experimental group 2 and the control group. Then nursing needs of the control group were higher than those of the experimental groups 1 and 2. Conclusion: The decrease in indwelling catheter size and preoperative nursing education is an effective nursing intervention in perioperative care.

• Asian Oncology Nursing
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• v.9 no.1
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• pp.31-42
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• 2009

Purpose: The purpose of the study was to understand how patients experience everyday life in an isolation unit for hematopoietic stem cell transplantation (HSCT). Method: The data were collected from 25 patients with HSCT at the isolation unit from January to March in 2008 in one general hospital in Korea. The data were collected by participant observations and ethnographic interviews and were analyzed using ethnographic method. Results: Four themes regarding environmental area emerged: 'barrier pulling up the drawbridge', 'very strange world', 'small and restricted space tied by IV and other treatment lines', and 'loud noise in a silent space.' Three themes regarding patients emerged: 'facing fear and anxiety', 'continuation of loneliness and lethargy', and 'compromising with a very long, dull, and boring time'. These themes describe how patients with HSCT suffer from continuous physical and psychosocial problems in a confined space, while endeavoring to control these problems and to search for hope for a new life. Conclusion: The results of the study provide an in-depth understanding of the experience and culture of patients in an isolation unit for HSCT. They would be used in developing practical programs to decrease patient's culture shock including fear and anxiety at isolation unit for HSCT.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.62 no.6
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• pp.818-824
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• 2013

In this study, a novel Graphic User Interface (GUI) software development system is suggested so that it can be applied to diagnose breast cancer with utilizing 3~4.2 GHz microwave radiometric data. The estimated inner and surface temperature values on the patient's right and left breast in terms of microwave radiometry are visualized in HSV color mapping space and their relevant contour regions and lines are depicted by Marching Square graphic algorithm. Also the database system is implemented in terms of patient and diagnostic module to support the medical decisions concerning the breast cancer diagnosis.

• Genomics & Informatics
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• v.6 no.3
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• pp.136-141
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• 2008

A large number of studies have been performed to identify biomarkers that will allow efficient detection and determination of the precise status of a patient’s disease. The use of microarrays to assess biomarker status is expected to improve prediction accuracies, because a whole-genome approach is used. Despite their potential, however, patient samples can differ with respect to biomarker status when analyzed on different platforms, making it more difficult to make accurate predictions, because bias may exist between any two different experimental conditions. Because of this difficulty in experimental standardization of microarray data, it is currently difficult to utilize microarray-based gene sets in the clinic. To address this problem, we propose a method that predicts disease status using gene expression data that are transformed by their ranks, a concept that is easily applied to two datasets that are obtained using different experimental platforms. NCI and colon cancer datasets, which were assessed using both Affymetrix and cDNA microarray platforms, were used for method validation. Our results demonstrate that the proposed method is able to achieve good predictive performance for datasets that are obtained under different experimental conditions.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.254-266
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• 2021

The Internet of Medical Things (IoMTs) are to be considered an investment and an improvement to respond effectively and efficiently to patient needs, as it reduces healthcare costs, provides the timely attendance of medical responses, and increases the quality of medical treatment. However, IoMT devices face exposure from several security threats that defer in function and thus can pose a significant risk to how private and safe a patient's data is. This document works as a comprehensive review of modern approaches to achieving security within the Internet of Things. Most of the papers cited here are used been carefully selected based on how recently it has been published. The paper highlights some common attacks on IoMTs. Also, highlighting the process by which secure authentication mechanisms can be achieved on IoMTs, we present several means to detect different attacks in IoMTs

• Journal of Korean Public Health Nursing
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• v.33 no.2
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• pp.200-213
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• 2019

Purpose: This study was conducted to examine the effect of a fall prevention education on the fall related knowledge and fall prevention behavior of the elderly patients in comprehensive nursing care service wards. Method: A quasi experimental study with control group and experimental group was used. A total 62 elderly patients in comprehensive nursing care service wards were randomly divided into the experimental group(n=30) and the control group(n=32). The data collection period was from August to December, 2017. Data were analyzed with $X^2-test$, paired t-test, independent t-test and Pearson's correlation coefficient by using SPSS 25.0. Results: Experimental group reported higher score in fall related knowledge than the control group(t=-10.28, p<.001). Participants who viewed DVD and received the leaflet education reported higher score than those with routine admission education(t=-6.51, p<.001). The experimental group showed significant improvement in fall related knowledge and fall prevention behavior(r=.21, p=.015). Conclusion: The fall prevention program was effective in improving fall-related knowledge and fall prevention behavior among elderly patients. Since the DVD plus leaflet education was effective in improving prevention behaviors, it might be included in routine orientation on admission for the elderly patient in comprehensive nursing care service wards.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.2
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• pp.41-48
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• 2023

This study aims to evaluate patients' satisfaction with healthcare services in Hawtat Bani Tamim Governorate during the spread of coronavirus. The importance of this study stems from the fact that Covid-19 is challenging countries all over the world. The study adopted a questionnaire for collecting the data. The sample size reached 231 members. The study applied descriptive statistics and inferential statistical methods to obtain the result of the study. The analysis of the data revealed that most of the participants are satisfied with the healthcare services in hospitals and health centers during the Corona pandemic, Health precautions and distancing measures were applied appropriately, Vaccination against corona was available in health centers and easy to access, and rapid response of health care service providers to patients' requests. The participant's opinions showed that the application of Mawid is a suitable method to access healthcare services during Corona, the application is more efficient in providing the required healthcare services and facilitating their access to healthcare services. In addition, patient satisfaction with the "My health" application provided fast and convenient services during the Corona pandemic and provided medical consultations easily.

• Journal of East-West Nursing Research
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• v.15 no.2
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• pp.157-167
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• 2009

Purpose: This study examines the patient problems and nursing interventions during telephone consultations by nurses in an ophthalmology nursing unit. Methods: The data were collected during telephone consultations. A total of 13 nurses consulted 170 patients between September 29 and November 30, 2008 at a tertiary teaching hospital. Problems were raised by the patients and nursing interventions were provided to the patients by the nurses. The SPSS program was used to analyze the data. Results: There were 228 telephone inquiries by 170 patients. The problems were categorized into four groups based on a literature review and validated by 14 nurses: physical symptoms, medications, administrative matters, and follow-up care. Interventions provided by the nurses were categorized into six groups: instructing patients; providing information; providing background knowledge; assuring the patients; referring to the patients to other ancillary departments; and delivering doctor's orders. Conclusions: Nurse interventions for a specific patient problem varied depending on the nurse providing the consultation. The participating nurses expressed the need for a common protocol for telephone consultations. Thus, it would be beneficial to develop a guideline for telephone consultations to minimize practice variations among nurses.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.407-417
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• 2023

The purpose of this study is to identify the level of safety perception, ethical awareness, and safety activities of nursing students for patients, and to identify the correlation and impact between them. The research design is a descriptive survey study, and the subject of the study were 197 nursing college students in G City. Safety perception, ethical awareness, and safety activity tools were used for, and the data collection period was from October 17 to 28 in 2022. T-test, one-way ANOVA, Pearson's correlation coefficient, Regression analysis were used to analyze data. The result of the study indicated that the average level of safety perception of nursing students was 3.72 points, the average ethical awareness of patients, professional work, and cooperators perceived by nursing students was 3.04 points, and the safety activities of nursing students were 4.20 points. In the case of safety awareness and ethics awareness, r=.327, a significant positive correlation, in the case of safety awareness and safety activities, r=.399, significant positive correlation, ethics awareness and safety activities as r=.296. And so on these results showed that high safety perception increases safety activities, and high ethical awareness increases safety activities. Therefore, we need practical and step-by-step convergence education to equip nursing students with patient safety nursing capabilities. To this end, a safer environment will be created if the social support network for the systematic application of safety education is well formed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.1
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• pp.105-125
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• 2024

Gliomas are the most common malignant brain tumor and cause the most deaths. Manual brain tumor segmentation is expensive, time-consuming, error-prone, and dependent on the radiologist's expertise and experience. Manual brain tumor segmentation outcomes by different radiologists for the same patient may differ. Thus, more robust, and dependable methods are needed. Medical imaging researchers produced numerous semi-automatic and fully automatic brain tumor segmentation algorithms using ML pipelines and accurate (handcrafted feature-based, etc.) or data-driven strategies. Current methods use CNN or handmade features such symmetry analysis, alignment-based features analysis, or textural qualities. CNN approaches provide unsupervised features, while manual features model domain knowledge. Cascaded algorithms may outperform feature-based or data-driven like CNN methods. A revolutionary cascaded strategy is presented that intelligently supplies CNN with past information from handmade feature-based ML algorithms. Each patient receives manual ground truth and four MRI modalities (T1, T1c, T2, and FLAIR). Handcrafted characteristics and deep learning are used to segment brain tumors in a Global Convolutional Neural Network (GCNN). The proposed GCNN architecture with two parallel CNNs, CSPathways CNN (CSPCNN) and MRI Pathways CNN (MRIPCNN), segmented BraTS brain tumors with high accuracy. The proposed model achieved a Dice score of 87% higher than the state of the art. This research could improve brain tumor segmentation, helping clinicians diagnose and treat patients.