• Journal of the Korea Society of Computer and Information
• /
• v.27 no.7
• /
• pp.145-152
• /
• 2022

Stroke results in balance disorders, these directly affect autonomy and gait ability. The aim of this meta-analysis was to determine the efficacy of proprioceptive neuromuscular facilitation on balance and gait. We included all randomized controlled trials assessing the efficacy of proprioceptive neuromuscular facilitation on balance and gait control in patients after stroke. This study was conducted according to the PRISMA guideline. Cochrane library, CINAHL, and PubMed were searched for studies published up to November 2021, and all randomized controlled trails(RCT) assessing PNF therapy were included. This analysis included only RCT. A total of 18 studies were selected from 1091 records obtained from the databases. The meta-analysis was performed using the R project for statistical computing version 4.0.2. The overall intervention effect was middle (standardized mean difference (SMD): 0.56) Additionally, berg balance scale (SMD: 0.48), functional reach test (SMD: 0.51), timed up and go test (SMD: 0.78), 10m walking test (SMD: 0.52), and dynamic gait index (SMD: 0.33) had medium effect sizes. The average Pedro scale was 6.63 out of 18, with a low risk of bias. These findings indicate that PNF is an effective therapy for improving balance gait in stroke patients.

• The Journal of Internal Korean Medicine
• /
• v.43 no.4
• /
• pp.559-566
• /
• 2022

Introduction: The aim of this systematic review is to provide evidence confirming the efficacy and safety of herbal medicines used in the treatment of liver cancer. Methods: The review will include randomized clinical trials that compared herbal medicines used as treatments for liver cancer with other therapies, such as placebos and Western medicine. Only randomized controlled trials will be included in this review, and all types of herbal medicine will be evaluated. Eleven electronic databases will be searched from the inception date: the Cochrane Database of Systematic Reviews, MEDLINE, EMBASE, AMED, CINAHL, one Chinese database (CNKI), and five Korean databases (OASIS, DBpia, RISS, KISS, and NDSL). The selection of studies, data extraction, and management will be performed independently by four researchers. Methodological quality, including the risk of bias, will be assessed using the Cochrane risk-of-bias assessment tool. Results: The review of current evidence for the effectiveness of herbal medicine for liver cancer will be summarized and quantitatively analyzed. Conclusions: Our systematic review will provide evidence of the efficacy of herbal medicines as treatments for liver cancer. This evidence will provide useful information for practitioners and patients in the fields of oncology and complementary medicine.

• Journal of Home Health Care Nursing
• /
• v.6
• /
• pp.46-58
• /
• 1999

The purpose of this research was to find out the state of the nursing performance of the home care nurses in Seoul in order to provide the data for the practical work guide. The data were collected from fifty home care nurses working in 22 institutions located in Seoul. The research tool used for this research was modified and tested by Song Jong-Rye(1999) which was originally modified the standard tool of American Nurses Association (1998) and was partly supplement and adjusted for this research. The reliability of this tool was Cronbach's $\alpha$=.0982. The collected data were statistically processed using SAS for t-test, ANOVA. $Scheff\'{e}$ test. Among the surveyees, 50% have been working as a home care nurse more than three years and 74.0% of them were married. And 52% have B.S degree with certification of home care nurse from the certification program for Home Care Nurses affiliated at nursing schools. Half of the home care nursing organizations were based on the general hospitals, and most(78%) of the responsible senior personnels of those organizations were nurses. The following results are drawn from this research. 1) The level of nursing performance by the task sectors General performance level of home care nurses was relatively high in grade of 3.06 from total 4.00. Among the task sectors. the ethical field scored the highest points, and the next were nursing intervention, professional training, and data gathering, and the research sector scored the lowest point. 2) The level of nursing performance by general features of home care nurses Statistically relevant correlation between performance according to the duration of working experience as a nurse(p=0.8951) and performance according to the duration of working as home care nurse(p=0.2263) did not emerge. Also, performance by marriage status(p=0.2218), education(p=0.5733), and taking the certification program for home card nurse(p =0.1560) has no statistically meaningful correlation. 3) The level of nursing performance by the type of home care nursing organizations There exists a significant difference(p=0.002) between performances by the types of organizations. Most of the responsible senior personnels of the home care nursing organization were nurses. The level of nursing performance of the home care nursing organization under nurse management was relatively higher than that of home care nursing organizations led by medical doctors or non-medical professional, but this was not proved as statistically meaningful(p =0.3617). 4) The level of nursing performance by task sectors according to the characteristic of home care nursing service organization There exists a significant difference between nursing performances by task sectors according to the characteristics of home care nursing organization(p=0.002). In case of model research center of one College of Nursing, the nursing performance in the sectors of organization, theory, and data gathering were lower than that of in hospital based home care nursing service. And in case of local home care centers, performances in sectors of organization, theory, data gathering, nursing intervention. professional training, and research sectors were significantly low. Based on the obtained results, overall performance of home care nurses can be appraised as relatively good. Especially, performances in sectors of the nursing intervention, nursing plan. and data gathering including the in direct nursing were recorded high scores. From this, it can be concluded that high quality of nursing is relatively practicing for home patients at these days. Since the high quality of nursing for patients was directly related to the level of nursing performances of home care nurses, it is required to improve practical performance level of them by making constant evaluation and running continual education program and supplementing curriculum for the sectors with low scores.

• Journal of Hospice and Palliative Care
• /
• v.15 no.2
• /
• pp.68-76
• /
• 2012

Purpose: The study was designed to verify effects of aromatherapy on depression, anxiety and the autonomic nervous system in breast cancer patients who are undergoing adjuvant radiotherapy. Methods: Data were collected from November 2006 through March 2007 at the C university hospital in Seoul. The study included 33 patients and they were assigned to three groups. Group I had aroma oil inhalation for 2 minutes per time, three times a day for six weeks whereas Group II and a control group inhaled aroma oil for 2 minutes per time, once a day for six weeks. For Groups I and II, a mixture of lemon, lavender, rosewood and rose essential oils were used while control group inhaled tea tree oil. Results: Depression was significantly decreased in patients in the experimental groups only. In Groups I and II patients, anxiety level was lower than that in control patients. Patients in Groups I and II also showed stronger physical resistance to stress than control group patients. Conclusion: Aromatherapy should be considered as a method that can significantly decrease depression in breast cancer patients who are undergoing adjuvant radiotherapy.

• 한국노년학
• /
• v.28 no.4
• /
• pp.1041-1054
• /
• 2008

This study aimed to identify the severity and types of prostate symptom, to identify the relationship of prostate symptom, sleep quality and quality of life of the elderly in korea, so to provide basic data for developing nursing interventions for the elderly's prostate symptom management. This study used a descriptive correlational research design. The subjects of this study were 100 elderly men over 65yr in an urban city. Data were collected through personal interviews using questionnaires from September 2006 to March 2007. The IPPS, PSQI and SF-36-K were administered. The collected data were analyzed by descriptive statistics and Pearson's correlation. The major findings of this study were as follows: 1) 44% of the participants have moderate to severe Prostate symptom(IPSS>7). 2) Prostate symptom has positive relationship with sleep quality(r=.272, p=.006) and negative relationship with health related quality of life(r=-.197, p=.049). The results of this study indicate that prostate symptom is related to sleep quality and quality of life. So it is necessary to give information to the elderly about the effective coping method of prostate symptom and about the life style which have positive effect to prostate symptom.

• 한국노년학
• /
• v.31 no.4
• /
• pp.1155-1167
• /
• 2011

The purpose of this study was to investigate the frequency of falls, fear of falling, perceived health status, and number of disease according to cognitive function in community-dwelling the elderly women. This study utilized a descriptive survey design. Data were collected for six months with 311 elderly women who visited in public health center at S city. After obtaining Institutional Review Board(IRB) approval, a face-to-face, and private interview was conducted with each participant who was eligible and agreed to participate in this study by trained graduate-level nursing students. The questionnaires consisted of MoCA-K, K-MMSE, Fall Efficacy Scale, PHS scale. The collected data were analyzed with SPSS/WIN 17.0 program, which was used descriptive statistics, Chi-Square test and t-test, Correlation. The major findings of this study were as follows; 1) The average age of the subjects was 71.68±5.13 and cognitive function score was 22.14±4.32. approximately 35% of participants had fallen within one year. 2) there were significant differences in perceived health status according to cognitive function. 3) fear of fall and cognitive function, perceived health status and cognitive function were significant correlation. In conclusion, this study will contribute to establish strategies for preventing fall. Interventions for fall prevention and fear of fall enhancement should be developed with the consideration of the level of cognitive function in the elderly. Reducing the fear of falling through the comprehensive nursing intervention will ultimately improve the quality of life in the elderly.

• Journal of Intelligence and Information Systems
• /
• v.26 no.1
• /
• pp.1-21
• /
• 2020

With the rapid development of artificial intelligence technology, various techniques have been developed to extract meaningful information from unstructured text data which constitutes a large portion of big data. Over the past decades, text mining technologies have been utilized in various industries for practical applications. In the field of business intelligence, it has been employed to discover new market and/or technology opportunities and support rational decision making of business participants. The market information such as market size, market growth rate, and market share is essential for setting companies' business strategies. There has been a continuous demand in various fields for specific product level-market information. However, the information has been generally provided at industry level or broad categories based on classification standards, making it difficult to obtain specific and proper information. In this regard, we propose a new methodology that can estimate the market sizes of product groups at more detailed levels than that of previously offered. We applied Word2Vec algorithm, a neural network based semantic word embedding model, to enable automatic market size estimation from individual companies' product information in a bottom-up manner. The overall process is as follows: First, the data related to product information is collected, refined, and restructured into suitable form for applying Word2Vec model. Next, the preprocessed data is embedded into vector space by Word2Vec and then the product groups are derived by extracting similar products names based on cosine similarity calculation. Finally, the sales data on the extracted products is summated to estimate the market size of the product groups. As an experimental data, text data of product names from Statistics Korea's microdata (345,103 cases) were mapped in multidimensional vector space by Word2Vec training. We performed parameters optimization for training and then applied vector dimension of 300 and window size of 15 as optimized parameters for further experiments. We employed index words of Korean Standard Industry Classification (KSIC) as a product name dataset to more efficiently cluster product groups. The product names which are similar to KSIC indexes were extracted based on cosine similarity. The market size of extracted products as one product category was calculated from individual companies' sales data. The market sizes of 11,654 specific product lines were automatically estimated by the proposed model. For the performance verification, the results were compared with actual market size of some items. The Pearson's correlation coefficient was 0.513. Our approach has several advantages differing from the previous studies. First, text mining and machine learning techniques were applied for the first time on market size estimation, overcoming the limitations of traditional sampling based- or multiple assumption required-methods. In addition, the level of market category can be easily and efficiently adjusted according to the purpose of information use by changing cosine similarity threshold. Furthermore, it has a high potential of practical applications since it can resolve unmet needs for detailed market size information in public and private sectors. Specifically, it can be utilized in technology evaluation and technology commercialization support program conducted by governmental institutions, as well as business strategies consulting and market analysis report publishing by private firms. The limitation of our study is that the presented model needs to be improved in terms of accuracy and reliability. The semantic-based word embedding module can be advanced by giving a proper order in the preprocessed dataset or by combining another algorithm such as Jaccard similarity with Word2Vec. Also, the methods of product group clustering can be changed to other types of unsupervised machine learning algorithm. Our group is currently working on subsequent studies and we expect that it can further improve the performance of the conceptually proposed basic model in this study.