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Analysis of Subgroups with Lower Level of Patient Safety Perceptions Using Decision-Tree Analysis (환자안전인식 취약군에 대한 의사결정나무모형)

  • Shin, Sun Hwa
    • Journal of Korean Academy of Nursing
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    • v.50 no.5
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    • pp.686-698
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    • 2020
  • Purpose: This study was aimed to investigate experiences, perceptions, and educational needs related to patient safety and the factors affecting these perceptions. Methods: Study design was a descriptive survey conducted in November 2019. A sample of 1,187 Koreans aged 20-80 years participated in the online survey. Based on previous research, the questionnaire used patient safety-related and educational requirement items, and the Patient Safety Perception Scale. Descriptive statistics and a decision tree analysis were performed using SPSS 25.0. Results: The average patient safety perception was 71.71 (± 9.21). Approximately 95.9% of the participants reported a need for patient safety education, and 88.0% answered that they would participate in such education. The most influential factors in the group with low patient safety perceptions were the recognition of patient safety activities, age, preference of accredited hospitals, experience of patient safety problems, and willingness to participate in patient safety education. Conclusion: It was confirmed that the vulnerable group for patient safety perception is not aware of patient safety activities and did not prefer an accredited hospital. To prevent patient safety accidents and establish a culture of patient safety, appropriate educational strategies must be provided to the general public.

Bronchogenic Cyst: report of 3 cases (기관지성 낭종[3례 보고])

  • Lee, Chong-Tae;Han, Sung-Sae;Lee, Sung-Haing
    • Journal of Chest Surgery
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    • v.14 no.3
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    • pp.210-214
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    • 1981
  • The bronchogenic cysts result from an abnormal budding or branching of the tracheo-bronchial tree from the primitive foregut. Bronchogenic cysts may be pulmonary or mediastinal. The most common location for a mediastinal bronchogenic cyst is in relation to the carina. They are usually solitary. They usually are thin walled and contain fluid that is most often clear. The cyst is lined by ciliated columnar epithelium. The bronchogenic cyst i~ usually asymptomatic. They can cause pressure symptoms. When they become infected, symptoms do occur. We report 3 cases of bronchogenic cysts experienced at the Department of Thoracic and Cardiovascular Surgery, Kyungpook National University Hospital. Case I, a man of 20 year-old, had a cyst at the site between aortic arch and left pulmonary artery. He complained cough and dyspnea. The cyst wasn`t communicated with tracheobronchial tree. Case II was 55-year-old male who had had hemoptysis. A huge cyst was located within the lower lobe of left lung and removed by pulmonary lobectomy. There were not any symptoms in Case III that was 6-year old girl. That cyst was located just next to the right main bronchus.

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A Prediction Model of Timely Processing on Medical Service using Classification and Regression Tree (분류회귀나무를 이용한 의료서비스 적기처리 예측모형)

  • Lee, Jong-Chan;Jeong, Seung-Woo;Lee, Won-Young
    • Journal of IKEEE
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    • v.20 no.1
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    • pp.16-25
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    • 2016
  • Turnaround time (called, TAT) for imaging test, which is necessary for making a medical diagnosis, is directly related to the patient's waiting time and it is one of the important performance criteria for medical services. In this paper, we measured the TAT from major imaging tests to see it met the reference point set by the medical institutions. Prediction results from the algorithm of classification regression tree (called, CART) showed "clinics", "diagnosis", "modality", "test month" were identified as main factors for timely processing. This study had a contribution in providing means of prevention of the delay on medical services in advance.

Human Normalization Approach based on Disease Comparative Prediction Model between Covid-19 and Influenza

  • Janghwan Kim;Min-Yong Jung;Da-Yun Lee;Na-Hyeon Cho;Jo-A Jin;R. Young-Chul Kim
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.3
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    • pp.32-42
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    • 2023
  • There are serious problems worldwide, such as a pandemic due to an unprecedented infection caused by COVID-19. On previous approaches, they invented medical vaccines and preemptive testing tools for medical engineering. However, it is difficult to access poor medical systems and medical institutions due to disparities between countries and regions. In advanced nations, the damage was even greater due to high medical and examination costs because they did not go to the hospital. Therefore, from a software engineering-based perspective, we propose a learning model for determining coronavirus infection through symptom data-based software prediction models and tools. After a comparative analysis of various models (decision tree, Naive Bayes, KNN, multi-perceptron neural network), we decide to choose an appropriate decision tree model. Due to a lack of data, additional survey data and overseas symptom data are applied and built into the judgment model. To protect from thiswe also adapt human normalization approach with traditional Korean medicin approach. We expect to be possible to determine coronavirus, flu, allergy, and cold without medical examination and diagnosis tools through data collection and analysis by applying decision trees.

Use of Information Technologies to Explore Correlations between Climatic Factors and Spontaneous Intracerebral Hemorrhage in Different Age Groups

  • Ting, Hsien-Wei;Chan, Chien-Lung;Pan, Ren-Hao;Lai, Robert K.;Chien, Ting-Ying
    • Journal of Computing Science and Engineering
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    • v.11 no.4
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    • pp.142-151
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    • 2017
  • Spontaneous intracerebral hemorrhage (sICH) has a high mortality rate. Research has demonstrated that sICH occurrence is related to weather conditions; therefore, this study used the decision tree method to explore the impact of climatic risk factors on sICH at different ages. The Taiwan National Health Insurance Research Database (NHIRD) and other open-access data were used in this study. The inclusion criterion was a first-attack sICH. The decision tree algorithm and random forest were implemented in R programming language. We defined a high risk of sICH as more than the average number of cases daily, and the younger, middle-aged and older groups were calculated as having 0.77, 2.26 and 2.60 cases per day, respectively. In total, 22,684 sICH cases were included in this study; 3,102 patients were younger (<44 years, younger group), 9,089 were middle-aged (45-64 years, middle group), and 10,457 were older (>65 years, older group). The risk of sICH in the younger group was not correlated with temperature, wind speed or humidity. The middle group had two decision nodes: a higher risk if the maximum temperature was >$19^{\circ}C$ (probability = 63.7%), and if the maximum temperature was <$19^{\circ}C$ in addition to a wind speed <2.788 (m/s) (probability = 60.9%). The older group had a higher risk if the average temperature was >$23.933^{\circ}C$ (probability = 60.7%). This study demonstrated that the sICH incidence in the younger patients was not significantly correlated with weather factors; that in the middle-aged sICH patients was highly-correlated with the apparent temperature; and that in the older sICH patients was highly-correlated with the mean ambient temperature. "Warm" cold ambient temperatures resulted in a higher risk of sICH, especially in the older patients.

Spatial distribution patterns of old-growth forest of dioecious tree Torreya nucifera in rocky Gotjawal terrain of Jeju Island, South Korea

  • Shin, Sookyung;Lee, Sang Gil;Kang, Hyesoon
    • Journal of Ecology and Environment
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    • v.41 no.8
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    • pp.223-234
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    • 2017
  • Background: Spatial structure of plants in a population reflects complex interactions of ecological and evolutionary processes. For dioecious plants, differences in reproduction cost between sexes and sizes might affect their spatial distribution. Abiotic heterogeneity may also affect adaptation activities, and result in a unique spatial structure of the population. Thus, we examined sex- and size-related spatial distributions of old-growth forest of dioecious tree Torreya nucifera in extremely heterogeneous Gotjawal terrain of Jeju Island, South Korea. Methods: We generated a database of location, sex, and size (DBH) of T. nucifera trees for each quadrat ($160{\times}300m$) in each of the three sites previously defined (quadrat A, B, C in Site I, II, and III, respectively). T. nucifera trees were categorized into eight groups based on sex (males vs. females), size (small vs. large trees), and sex by size (small vs. large males, and small vs. large females) for spatial point pattern analysis. Univariate and bivariate spatial analyses were conducted. Results: Univariate spatial analysis showed that spatial patterns of T. nucifera trees differed among the three quadrats. In quadrat A, individual trees showed random distribution at all scales regardless of sex and size groups. When assessing univariate patterns for sex by size groups in quadrat B, small males and small females were distributed randomly at all scales whereas large males and large females were clumped. All groups in quadrat C were clustered at short distances but the pattern changed as distance was increased. Bivariate spatial analyses testing the association between sex and size groups showed that spatial segregation occurred only in quadrat C. Males and females were spatially independent at all scales. However, after controlling for size, males and females were spatially separated. Conclusions: Diverse spatial patterns of T. nucifera trees across the three sites within the Torreya Forest imply that adaptive explanations are not sufficient for understanding spatial structure in this old-growth forest. If so, the role of Gotjawal terrain in terms of creating extremely diverse microhabitats and subsequently stochastic processes of survival and mortality of trees, both of which ultimately determine spatial patterns, needs to be further examined.

Medical Services Specialization strategies of the Regional Public Hospital through Customer Segmentation (고객세분화를 통한 지방의료원의 의료서비스 전문화 전략)

  • Lee, Jin-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.7
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    • pp.4641-4650
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    • 2015
  • This study aims to further strengthen the medical expertise to offer specialized medical care specialization strategies to gain a competitive edge through the customer segmentation of the Regional Public Hospital. Investigation period was selected to study the inpatients 26,658 people January to December 2013. The method of analysis are Cluster analysis and Decision Tree Analysis. In conclusion, female, age over 60, and diseases in musculoskeletal system and connective tissue were commonly selected as identifiers of the target market of Regional Public Hospital. Customers in this target market are loyal to specialized medical service and keeping continuous relationship with these customers through communication and monitoring of results of provided medical service would be important because the effect of word of mouth propagated to other group of customers having equivalent scale of consumption is expected. And the concentration of the scope of medical service of Regional Public Hospital and the collaboration and mutual reliance of medical service under the strategic alliance with other institutions and private hospitals are also needed.

ANGER, ANGER COPING AND STRESS RESPONSE IN DELINQUENT ADOLESCENTS RELEASED WITH WARNING BY POLICE - FOCUSED ON THE PARTICIPANTS OF THE INTERVENTION PROGRAMS - (훈방대상 비행청소년의 분노, 분노대처 및 스트레스반응 -비행예방프로그램 참가자를 중심으로-)

  • Park Sang-Kun;Lee Hoo-Kyeong;Yoon Sung-Chul;Ahn Hyun-Joo;Kim Sun-Jae;Bang Yang-Weon;Jang Hye-Jin
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.16 no.2
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    • pp.261-269
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    • 2005
  • Objects : We performed this study to investigate anger, anger coping, stress response, grade differences and gender differences in delinquent adolescents who were released with warning by police. Methods The subjects consisted of 285 delinquent adolescents who participated in the intervention program for preventing delinquency and 391 school students (male : 377, female : 299/middle school : 346, high school 330) in Seoul. STAXI-K and IES were used. Results : 1) The delinquent adolescent group had the higher scores of 'state anger', 'trait anger', 'total anger' than the student group. But the delinquent adolescent group had the lower scores of 'anger in', 'anger control' and 'stress response' than the student group. 2) The male delinquent adolescent group had the higher scores of 'anger control', 'stress response' than the female delinquent adolescent group. But there was no significant difference in anger. 3) The high school delinquent adolescent group had the higher scores of 'trait anger', 'anger control' than the middle school delinquent adolescent group. The high school adolescent group had the higher scores of 'stress response' than the middle school adolescent group. Conclusion : In anger, anger coping and stress response, the normal student group were different form the adolescent group who were released with warning by police committed. According to the grade and gender, differences were reported in this study. These characteristics can be more easily and more effectively applied to programs for the adolescent group who were released with warning by police committed.

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A Study on Status and Subjective Recognition of Functional Foods Among Diabetic Patients (당뇨병 환자의 건강기능식품에 대한 이용 실태 및 주관적인 인식에 관한 조사)

  • Park, Yeong-Mi;Son, Jeong-Min;Jang, Hak-Cheol
    • Journal of the Korean Dietetic Association
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    • v.11 no.2
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    • pp.216-222
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    • 2005
  • In Korea, there are many kinds of functional foods to manage diabetes, however, they have not been evaluated or investigated systematically. The purpose of this study was to investigate the status of recognition and intake of functional foods among diabetic patients. The study subjects were 307 patients(male 135, female 172), who diagnosed with type 2 diabetes at Seoul National University of Bundang Hospital. Questionnaire survey was done from July to October, 2004 for the characteristics of patients and factors related to the use of functional foods. The mean age of the subjects was 64$\pm$10.2 years, and the mean duration of disease was 9.5$\pm$8.90 years. Approximately 49.8% of the subjects had experience to use functional foods at least once in past. Total number of functional foods used were 56 types. Red ginseng was used most frequently(27.9%), then followed by Silkworm powder(13.6%), Vitamin supplements(10.4%), Mulberry tree(7.1%), Cordyceps sinensis(6.8%) and Ginseng(4.2%). Functional foods were introduced by their friends.relatives(38.4%), family(29.1%), internet(13.9%), and the mass media(10.6%). Among respondents, 94.7% took functional foods with conventional diet therapies(diet, exercise and medication). The purpose of functional food use was to control blood glucose level(49.0%), to relieve fatigue and improve stamina(19.9%), to treat and prevent a disease(17.2%) and to help blood circulation(7.9%). Upon the question of further recommendation of functional foods to others, 74.8% of the subjects answered negative response. However, 12.6% of the subjects showed the further intention of using new product. Therefore, to guide the appropriate use of functional foods for diabetic patients, diabetic educator should provide the knowledge of the efficacy of functional foods and the desirable guidelines.

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The effective management of length of stay for patients with acute myocardial infarction in the era of digital hospital (디지털 병원시대의 급성심근경색증 환자 재원일수의 효율적 관리 방안)

  • Choi, Hee-Sun;Lim, Ji-Hye;Kim, Won-Joong;Kang, Sung-Hong
    • Journal of Digital Convergence
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    • v.10 no.1
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    • pp.413-422
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    • 2012
  • In this study, we developed the severity-adjusted length of stay (LOS) model for acute myocardial infarction patients using data from the hospital discharge survey and proposed management of medical quality and development of policy. The dataset was taken from 2,309 database of the hospital discharge survey from 2004 to 2006. The severity-adjusted LOS model for the acute myocardial infarction (AMI) patients was developed by data mining analysis. From decision making tree model, the main reasons for LOS of AMI patients were CABG and comorbidity. The difference between severity-adjusted LOS from the ensemble model and real LOS was compared and it was confirmed that insurance type and location of hospital were statistically associated with LOS. And to conclude, hospitals should develop the severity-adjusted LOS model for frequent diseases to manage LOS variations efficiently and apply it into the medical information system.