• 대한의생명과학회지
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• 제20권4호
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• pp.185-193
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• 2014

Cancers are based upon an array of orchestrated genetic changes and the identification of changes causally related to the carcinogenic process. To elucidate the mechanism of cancer carcinogenesis, it is necessary to reconstruct these molecular events at each level. Microarray technologies have been extensively used to evaluate genetic alterations associated with cancer onset and progression in clinical oncology. The clinical impact of the genomic alterations identified by microarray technologies are growing rapidly and array analysis has been evolving into a diagnostic tool to better identify high-risk patients and predict patient outcomes from their genomic profiles. Here, we discuss the state-of-the-art microarray technologies and their applications in clinical oncology, and describe the potential benefits of these analysis in the clinical implications and biological insights of cancer biology.

• 임상간호연구
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• 제23권1호
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• pp.1-8
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• 2017

Purpose: The purpose of this study was to provide basic data required to improve nursing resources management and nurse organizations. Methods: The data were collected using a questionnaire. Participants were 294 nurses who were working at 8 hospitals with more than 500 beds located in G and C cities, Korea. Data analysis was done using t-test, ANOVA, $Scheff{\acute{e}}$ test, Pearson correlation coefficient and stepwise multiple regression analysis with SPSS. Results: There were significant correlations between self-leadership, clinical competence, job satisfaction and job involvement. Factors affecting job involvement were job satisfaction, self-leadership, length of clinical career and length of career in current department. Job satisfaction was the most influential factor with an explanatory power of 41%. Conclusion: Findings show that to strengthen job involvement, identification and management of factors that affect job satisfaction and self-leadership are required and relevant training and strategies should be developed and used.

• 센서학회지
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• 제32권6호
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• pp.378-385
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• 2023

Human biosignals provide essential information for diagnosing diseases such as dementia and Parkinson's disease. Owing to the shortcomings of current clinical assessments, noninvasive solutions are required. Machine learning (ML) on wearable sensor data is a promising method for the real-time monitoring and early detection of abnormalities. ML facilitates disease identification, severity measurement, and remote rehabilitation by providing continuous feedback. In the context of wearable sensor technology, ML involves training on observed data for tasks such as classification and regression with applications in clinical metrics. Although supervised ML presents challenges in clinical settings, unsupervised learning, which focuses on tasks such as cluster identification and anomaly detection, has emerged as a useful alternative. This review examines and discusses a variety of ML algorithms such as Support Vector Machines (SVM), Random Forests (RF), Decision Trees (DT), Neural Networks (NN), and Deep Learning for the analysis of complex clinical data.

• Asian Pacific Journal of Cancer Prevention
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• 제15권19호
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• pp.8429-8433
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• 2014

Circulating tumor cells (CTCs) are believed to be particularly important and a reliable marker of malignancy. However, the prognostic significance of CTCs detected in patients with small cell lung cancer (SCLC) is still unclear. We therefore aimed to assess the prognostic relevance of CTCs using a meta-analysis. We searched PubMed for relevant studies and statistical analyses were conducted to calculate the hazard ratio (HR) and 95% confidence intervals (CIs) using fixed or random-effect models according to the heterogeneity of included studies. A total of 7 papers covering 440 SCLC patients were combined in the final analysis. The meta-analysis revealed that CTCs were significantly associated with shorter overall survival (HR=1.9; 95%CI: 1.19-3.04; Z=2.67; P<0.0001) and progression-free survival (HR=2.6; 95%CI: 1.9-3.54; Z=6.04; P<0.0001). The results thus suggest that the presence of CTCs indicates a poor prognosis in patients with SCLC. Further well-designed prospective studies are required to explore the clinical applications of CTCs in SCLC.

• Journal of Pharmaceutical Investigation
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• 제40권4호
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• pp.225-230
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• 2010

The particulate contamination of intravenously administered fluid has been of major concern. One of the most common complications associated with long term i.v. therapy is post-infusion phlebitis (PIP). We undertook a systematic review and meta-analysis of the effect of inline filters on PIP. An electronic search of Medline, KoreaMed, and KRIST was conducted to identify randomized controlled trials evaluating the effect of inline filters. Meta-analysis was undertaken using STATA 10. A total of 62 literatures were retrieved, of which 7 were included in meta-analysis. Inline filtration for intravenous infusion significantly reduced by 39% of the incidence of phlebitis, with a relative risk of 0.61 (95% CI 0.41-0.90, p=0.012). Therefore, inline filtration is a highly effective means of decreasing the incidence of infusion phlebitis and should be considered as a part of intravenous therapy.

• 한국직업건강간호학회지
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• 제14권1호
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• pp.71-82
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• 2005

Purpose: This study analyzed domestic articles that studied job-stress of nurses using Meta Analysis to evaluate the responses resulted from job-stress and the factors affecting them. Method: To conduct this study, data were collected primarily from database of "richis" and additionally from 8 nursing journals and 5 theses for a degree on job-stress of clinical nurses. Result: As a result of Meta Analysis casual factor of job-stress, the result represented that two reasons; personal factor was the age, occupational factor were ward, duration of employment and position. By the result of analysis of effect of job-stress, satisfaction of the job, exhaustion, health status and immersion of the job were strongly related to job-stress. According to the general solution against job-stress that referred from job-stress related theses, there are several; Imagination Therapy, Assertive Training and Value Clarification Training could bring significant result. Conclusion: This study showed that because job-stress of clinical nurses had nothing to do with personal factors, job-stress management plans for nurses are needed to focus on occupational factors. Also the study suggested that various coping skills that proved to be effective are needed to be used to relieve job-stress and that's responses on nurses.

• 한국정보시스템학회지:정보시스템연구
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• 제32권3호
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• pp.41-61
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• 2023

Purpose This study aims to categorize the types of health, analyze the effects among health types based on network analysis find the most important type of health, and explain whether the results between health types vary depending on demographic characteristics. Design/methodology/approach This study investigated individual physical, clinical, mental, and social health(social capital and social support) levels through a survey of 100 people. Network analysis was applied to the survey data to confirm the degree centrality of nodes. Furthemore, we investigated the differences in core nodes according to gender and age groups. Findings According to the analysis result, social support was the most important health type in the entire group. Furthermore, the importance of health type was different depending on the characteristics of the groups. In the case of men, clinical health was the most important health type, and social support was analyzed to be the most important for women. In the case of young people, clinical health was the most important health type, and mental health was the most important health type in the middle-aged.

• 한국전자통신학회논문지
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• 제16권4호
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• pp.661-674
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• 2021

에드워드병은 양식넙치에 있어 치료가 어렵고, 모든 성장 단계에서 지속적으로 장기간에 걸쳐 어체 내에 존재하면서 대량 폐사까지 이어지는 경우가 많다. 본 논문에서는 의사결정 나무 기법을 이용하여 발병한 양식넙치의 다양한 증상 데이터를 기반으로 전체 수온 구간 및 저수온, 저-고수온, 고수온, 고-저수온 구간으로 나누어 에드워드병의 증상 패턴을 분석하였다. 실험을 통해 분석된 의사결정 나무의 증상 패턴에는 간 결절을 비롯하여 간 출혈, 간 조직 변성 등 간의 증상이 에드워드병의 판별 기준으로 선택되었다. 선택된 증상은 에드워드병의 주요한 증상으로 알려진 것이며, 분석된 결과가 에드워드병의 증상 패턴을 성공적으로 찾아주고 있음을 수산질병전문가의 자문을 통해 확인하였다.

• 대한한방내과학회지
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• 제45권1호
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• pp.1-10
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• 2024

Objectives: This study investigated the pattern identification (PI) and clinical index of Parkinson's disease (PD) for personalized diagnosis and treatment. Methods: This prospective observational multi-center study recruited 100 patients diagnosed with PD from two Korean medicine hospitals. To cluster new subtypes of PD, items on a PI questionnaire (heat and cold, deficiency and excess, visceral PI) were evaluated along with pulse and tongue analysis. Gait analysis was performed and blood and feces molecular signature changes were assessed to explore biomarkers for new subtypes. In addition, unified PD rating scale II and III scores and the European quality of life 5-dimension questionnaire were assessed. Results: The clinical index obtained in this study analyzed the frequency statistics and hierarchical clustering analysis to classify new subtypes based on PI. Moreover, the biomarkers and current status of herbal medicine treatment were analyzed using the new subtypes. The results provide comprehensive data to investigate new subtypes and subtype-based biomarkers for the personalized diagnosis and treatment of PD patients. Ethical approval was obtained from the medical ethics committees of the two Korean medicine hospitals. All amendments to the research protocol were submitted and approved. Conclusions: An objective and standardized diagnostic tool is needed for the personalized treatment of PD by traditional Korean medicine. Therefore, we developed a clinical index as the basis for the PI clinical evaluation of PD. Trial Registration: This trial is registered with the Clinical Research Information Service (CRIS) (KCT0008677)

• 대한임상검사과학회지
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• 제38권3호
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• pp.203-207
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• 2006

The purpose of this study was to develop discriminant analysis models for predicting cervical normal/dysplasia case diagnoses using cytometric features derived from the digital image analysis of cell monolayers. The database consisted of 19 cases diagnosed either as normal (n=5), moderate dysplasia (n=7), severe dysplasia (n=7) on monolayer preparations. We studied the nuclear and cytoplasmic characteristics of cells in the normal, moderate dysplasia and severe dysplasia on cervical samples. The morphometric parameters selected for the analysis were nuclear/cytoplasmic ratio and the nuclear variations measured by image analysis on normal and precancerous lesions of cervical smears; several shape factors; area; perimeter; maximal, minimal and equivalent circle diameters. The results showed that the dysplasia samples exhibited changes in both cellular and nuclear form and size but lacked substantial differences in the tumor grades. The coefficient of nuclear variation is as follows to normal cell $21.8{\pm}3.2%$, moderate dysplasia $33.5{\pm}6.1%$, severe dysplasia $27.7{\pm}5.8$ of cervical smears.