• Title/Summary/Keyword: 의료 데이터

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Fundamental Study of Relative Measurement for Accurate Measurement of Stent Size in Computed Tomography Angiography (컴퓨터단층 혈관조영술에서 스텐트 사이즈의 정확한 측정을 위한 상대적 측정법의 기초연구)

  • Lee, Seung-Young;Hong, Joo-Wan;Kang, Su-Mi;Kim, Su-Bin;Joon, Sang-Hoon;Heo, Yeong-Cheol
    • Journal of the Korean Society of Radiology
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    • v.13 no.5
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    • pp.713-720
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    • 2019
  • The purpose of this study was to propose a new measurement method for accurate measurement of vessel diameter in computed tomography angiography(CTA). CTA test was performed after non-ionic iodine contrast agent was flowed at a constant rate to self-maded perfusion phantom. After obtaining raw data, images were reconstructed with multi-planar reconstruction(MPR) and maximal intensity projection(MIP). Diameters of vascular models were measured for each technique. Relative and conventional measurements were then compared. The mean diameter of the vascular model was closer to the actual measurement when relative measurement was used compared to that when conventional measurement was used both in MPR and MIP. Relative measurements of MPR and MIP were closer to actual measurement than those of conventional measurement (34% VS, 24%, p<0.05). The relative measurement method proposed in this study was closer to the actual measurement than the conventional measurement method. However, both test methods were still larger than actual results. Therefore, further study of relative measurement method is needed using this study as basic data.

Content Analysis of Vocational Research Trend in Construction Field (건설분야 직업관련 연구동향 내용분석)

  • Nam, Keong-Woo;Jang, Myunghoun
    • Korean Journal of Construction Engineering and Management
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    • v.22 no.2
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    • pp.31-41
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    • 2021
  • The purpose of this study is to analyze the properties of previous studies related to vocations in the construction field. The results of the analysis are as follows. First, The paper has not been published at the beginning of the establishment of the academic foundation for vocational studies, but there was a marked increase over the next 15 years. Second, research related to vocations in the construction field has been more active in engineering than in social science. Third, the primary data method was used much more than the secondary data method, and the quantitative research method through a questionnaire was the most common research method. Fourth, human objects showed the highest frequency as 78.9%, and among them, technicians was the most. Fifth, as the research topic, psychological and behavioral aspects such as job satisfaction, job stress, turnover intention, and organizational commitment were dealt with most, and structural and environmental aspects such as national job competency standards, job analysis, construction accidents, and career development. It was also found that the topic of the research was actively being dealt with.

A Deep Learning-based Hand Gesture Recognition Robust to External Environments (외부 환경에 강인한 딥러닝 기반 손 제스처 인식)

  • Oh, Dong-Han;Lee, Byeong-Hee;Kim, Tae-Young
    • The Journal of Korean Institute of Next Generation Computing
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    • v.14 no.5
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    • pp.31-39
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    • 2018
  • Recently, there has been active studies to provide a user-friendly interface in a virtual reality environment by recognizing user hand gestures based on deep learning. However, most studies use separate sensors to obtain hand information or go through pre-process for efficient learning. It also fails to take into account changes in the external environment, such as changes in lighting or some of its hands being obscured. This paper proposes a hand gesture recognition method based on deep learning that is strong in external environments without the need for pre-process of RGB images obtained from general webcam. In this paper we improve the VGGNet and the GoogLeNet structures and compared the performance of each structure. The VGGNet and the GoogLeNet structures presented in this paper showed a recognition rate of 93.88% and 93.75%, respectively, based on data containing dim, partially obscured, or partially out-of-sight hand images. In terms of memory and speed, the GoogLeNet used about 3 times less memory than the VGGNet, and its processing speed was 10 times better. The results of this paper can be processed in real-time and used as a hand gesture interface in various areas such as games, education, and medical services in a virtual reality environment.

Relationship between Somatization and Mental Health of Registered Nurses (간호사의 신체화 증상과 정신건강의 관계)

  • Joo, Jungmin;Goo, Ae Jin;Kim, Sung-Wan
    • Korean Journal of Psychosomatic Medicine
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    • v.28 no.2
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    • pp.135-142
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    • 2020
  • Objectives : To identify the relationship between somatization, stress, depression, anxiety, and psychological symptoms risk for nurses working in the intensive care unit. Create clinical evidence of psychosomatic medicine research and complement the meaning of somatization. Methods : Seventy of the mental health checkups conducted by the National Mental Health Center among the nurses using tools including Perceived Stress scale, Fatigue Severity Scale, Patient Health questionnaire-15, Korean Beck Depression Inventory, Korean Beck Anxiety Inventory, and Symptom Checklist-90-Revision. Results : 12.9% of the patients experienced more than moderate somatization. There was no statistical relationship between somatization and psychological stress perception, but feeling of anxiety and decreased self-confidence were related to the level of somatization. The group with severe somatization experienced more depression and anxiety. The group with high physical fatigue also had no statistical relationship with psychological stress perception, but had an effect on the feeling of tension, stress, or decreased control. Physical fatigue level was increased by experience of depression, not by anxiety. For psychological symptoms the higher the level of somatization, the higher the obsession and hostility was explored. In the linear regression model, stress, depression, and anxiety accounted for 39.3% of somatization and 16.1% of physical fatigue symptoms. Conclusions : We can estimate the decrease in stress cognitive symptoms, accompanying depression and anxiety, compulsion and hostility as characteristics of somatization. The causal relationship between somatization and psychological symptoms cannot be confirmed in this study, but the interrelationships are observed, can be referred to mediation strategies.

Occupational Therapists' Perception and Communication of the Elderly (작업치료사를 대상으로 한 노인 인식 및 의사소통 현황)

  • Park, Sung-Ji;Han, Hee-Won;Jung, Yu-Jin;Woo, Hee-Soon
    • The Journal of Korean society of community based occupational therapy
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    • v.10 no.3
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    • pp.15-26
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    • 2020
  • Objective : Due to the rapid aging of the country, the elderly population is increasing and the ratio of face-to-face meetings with the elderly in major areas of occupational therapy is high. The purpose of this study was to investigate the overall perception of the elderly and the status of communication with the elderly. Methods : This survey was conducted From April to June 2020. Occupational therapists who provide interventions for the elderly in hospitals and public health centers across the country were collected using online questionnaires. A total of 91 questionnaires were collected through a self-administered questionnaire, of which 82 were used for data analysis, excluding 9 with insufficient responses. Results : Occupational therapists generally had a lot of negative perceptions of the elderly. In addition, as factors that hindered communication with the elderly, they responded in order of hearing-related, language understanding related, and articulation related. Lastly, occupational therapists were found to induce smooth communication with the elderly in the order of conversation response management, emotional expression, understanding enhancement, and relationship control. Conclusions : Occupational therapists are health care professionals who play a major role in improving the subjects' social participation and quality of life. Therefore, it is necessary to provide professional therapeutic interventions and related education using improved communication skills along with an understanding of the elderly's communication skills and their level of communication.

A Convergence Study of the Research Trends on Stress Urinary Incontinence using Word Embedding (워드임베딩을 활용한 복압성 요실금 관련 연구 동향에 관한 융합 연구)

  • Kim, Jun-Hee;Ahn, Sun-Hee;Gwak, Gyeong-Tae;Weon, Young-Soo;Yoo, Hwa-Ik
    • Journal of the Korea Convergence Society
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    • v.12 no.8
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    • pp.1-11
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    • 2021
  • The purpose of this study was to analyze the trends and characteristics of 'stress urinary incontinence' research through word frequency analysis, and their relationships were modeled using word embedding. Abstract data of 9,868 papers containing abstracts in PubMed's MEDLINE were extracted using a Python program. Then, through frequency analysis, 10 keywords were selected according to the high frequency. The similarity of words related to keywords was analyzed by Word2Vec machine learning algorithm. The locations and distances of words were visualized using the t-SNE technique, and the groups were classified and analyzed. The number of studies related to stress urinary incontinence has increased rapidly since the 1980s. The keywords used most frequently in the abstract of the paper were 'woman', 'urethra', and 'surgery'. Through Word2Vec modeling, words such as 'female', 'urge', and 'symptom' were among the words that showed the highest relevance to the keywords in the study on stress urinary incontinence. In addition, through the t-SNE technique, keywords and related words could be classified into three groups focusing on symptoms, anatomical characteristics, and surgical interventions of stress urinary incontinence. This study is the first to examine trends in stress urinary incontinence-related studies using the keyword frequency analysis and word embedding of the abstract. The results of this study can be used as a basis for future researchers to select the subject and direction of the research field related to stress urinary incontinence.

Impact of COVID-19 on Dental Trauma in Korea (국내에서 발생한 치과적 외상에 대한 코로나 바이러스 감염증-19의 영향)

  • Son, Donghyun;Lee, Yoon;Kim, Jihun
    • Journal of the korean academy of Pediatric Dentistry
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    • v.49 no.1
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    • pp.76-84
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    • 2022
  • The study was conducted to analyze the impacts of COVID-19 on the number of dental trauma patients. Based on the data provided by the Health Insurance Review and Assessment Service's Healthcare Bigdata Hub, dental trauma which occurred from 2010 to 2020 was analyzed. Since the outbreak of COVID-19, the incidence of dental trauma per 100,000 decreased compared to the average Incidence between 2017 to 2019. By age, it decreased by 5.4% (p = 0.017) for 0 - 4 years old, 30.3% (p < 0.001) for 5 - 9 years old, 39.5% (p < 0.001) for 10 - 14 years old, 14.5% (p = 0.002) for 15 - 19 years old, 1.3% for 20 - 29 years old, 0.2% for 40 - 49 years old, 2.7% for 50 - 59 years old, 1.2% for 60 years old or older, but it increased by 2.5% for 30 - 39 years old. Compared monthly, before and after the outbreak of COVID-19 confirmed patients, the number of dental trauma patients dropped sharply. After the outbreak of COVID-19, the incidence of dental trauma decreased significantly for under 20 years old, but the decrease was not significant for 20 years old or older.

Modified Pyramid Scene Parsing Network with Deep Learning based Multi Scale Attention (딥러닝 기반의 Multi Scale Attention을 적용한 개선된 Pyramid Scene Parsing Network)

  • Kim, Jun-Hyeok;Lee, Sang-Hun;Han, Hyun-Ho
    • Journal of the Korea Convergence Society
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    • v.12 no.11
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    • pp.45-51
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    • 2021
  • With the development of deep learning, semantic segmentation methods are being studied in various fields. There is a problem that segmenation accuracy drops in fields that require accuracy such as medical image analysis. In this paper, we improved PSPNet, which is a deep learning based segmentation method to minimized the loss of features during semantic segmentation. Conventional deep learning based segmentation methods result in lower resolution and loss of object features during feature extraction and compression. Due to these losses, the edge and the internal information of the object are lost, and there is a problem that the accuracy at the time of object segmentation is lowered. To solve these problems, we improved PSPNet, which is a semantic segmentation model. The multi-scale attention proposed to the conventional PSPNet was added to prevent feature loss of objects. The feature purification process was performed by applying the attention method to the conventional PPM module. By suppressing unnecessary feature information, eadg and texture information was improved. The proposed method trained on the Cityscapes dataset and use the segmentation index MIoU for quantitative evaluation. As a result of the experiment, the segmentation accuracy was improved by about 1.5% compared to the conventional PSPNet.

Differences in Health Status-related Characteristics Before and After Falls in Adult Hospitalized Patients (성인 입원 환자의 낙상전후 건강상태 관련 특성의 차이)

  • Kim, Myo-Youn;Lee, Mi-Joon;So, Hye-Eun;Youn, Byoung-Sun
    • Journal of Industrial Convergence
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    • v.20 no.10
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    • pp.51-59
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    • 2022
  • This study aims to investigate the changes in health status of inpatients before and after a fall accident, and it is a retrospective study using data from 328 inpatients who fell from January 1, 2016 to December 31, 2020, reported to the patient safety reporting system. The average age of the study subjects was 68.57(±14.13), and those in their 70s accounted for the most at 30.49%. Falls occurred on average 13.86(±25.03) days after hospitalization, and the time when the most falls occurred was between 22:30 and 06:59 with 42.99%. Before and after a fall during hospitalization, bowel problems (x2=314.0, p<.001), urination problems (x2=284.0, p<.001), intravenous fluid therapy (x2=85.16, p<.001), and walking (x2=69.77. p<.001), bedridden state (x2=51.60, p< .001), mental state and performance (x2=17.52, p<.001) patient's attitude (x2=220.17, p<.001), there was a statistically significant difference. It is necessary to develop an appropriate method and education program for fall prevention in hospital by considering the individual characteristics of inpatient.

Effects of Kneipp therapy on HRV: the First Preliminary Validation in Forest Environment (크나이프 요법이 HRV에 미치는 효과: 산림 환경에서 적용한 최초의 예비적 검증)

  • Hong, Geum Na;Sin, Bang Sik;Song, Kyu Jin;Son, Jeong Heui;Kim, Hyun Suk;Choi, Min Joo
    • Journal of Naturopathy
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    • v.11 no.1
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    • pp.1-8
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    • 2022
  • Background: A validation study is needed to make domestic applications of German Kneipp therapy. Purpose: The study aims to test the effect of a Kneipp therapeutic program in a domestic forest environment on the autonomic nervous system. Methods: The program was made considering the 4 key elements ('exercise', 'regulative therapy', 'nutrition', and 'phytotherapy') of the Kneipp therapy. Total 3 sessions (once a week for 5 hours in each session) were performed to 40 domestic adults divided into four groups (10 in each group). HRV was measured on the subjects before and after the intervention, and its 6 characteristic parameters (TP, VLF, LF, HF, LF/HF, CSI: Cumulative Stress Index) were compared for statistical analysis. Results: For 33 subjects excluding 7 who were disturbed by interrupt factors during measurements, significant improvements after the intervention, were observed in TP(8.64%, p < ..001), VLF(6.96%, p < .05), LF(15.86%, p < .001), HF(8.46%, p < .01), LF/HF(5.77%, p < .05) and CSI(-16.06%, p < ..001). Conclusions: The Kneipp therapy performed in the forest environment was shown to activate the autonomic nervous system and in particular the sympathetic and parasympatheric nervous to promote heart activity, and was also shown to most significantly reduce cumulative stress. The present observations would be the first preliminary evidence that the Kneipp therapeutic interventation in a domestic forest environment results in positive responses of the autonomic nervous system including stress relief.