• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.11a
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• pp.289-299
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• 2000

This study provides an application of datamining approach to CQI(Continuous Quality Improvement) using the discharge summary. First, we found a process variation in hospital infection rate by SPC (Statistical Process Control) technique. Second, importance of factors influencing hospital infection was inferred through the decision tree analysis which is a classification method in data-mining approach. The most important factor was surgery followed by comorbidity and length of operation. Comorbidity was further divided into age and principal diagnosis and the length of operation was further divided into age and chief complaint. 24 rules of hospital infection were generated by the decision tree analysis. Of these, 9 rules with predictive prover greater than 50% were suggested as guidelines for hospital infection control. The optimum range of target group in hospital infection control were Identified through the information gain summary. Association rule, which is another kind of datamining method, was performed to analyze the relationship between principal diagnosis and comorbidity. The confidence score, which measures the decree of association, between urinary tract infection and causal bacillus was the highest, followed by the score between postoperative wound disruption find postoperative wound infection. This study demonstrated how datamining approach could be used to provide information to support prospective surveillance of hospital infection. The datamining technique can also be applied to various areas fur CQI using other hospital databases.

• Journal of Korean Academy of Dental Administration
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• v.10 no.1
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• pp.42-52
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• 2022

This study aimed to investigate the association of lifestyle with the copy number of periodontal pathogens. This retrospective study collected electronic health records of 102 subjects with periodontitis, including reports of bacterial genetic tests and lifestyle questionnaires. The five pathogens were analyzed as follows: Porphyromonas gingivalis, Tannerella forsythia, Treponema denticola, Prevotella intermedia, and Fusobacterium nucleatum. The lifestyle questionnaire included age, sex, oral hygiene management, smoking, drinking, exercise, dietary, snacks, water intake, and sleeping time. An independent t-test or ANOVA was performed to compare the copy number of periodontal pathogens according to lifestyle (α=0.05). The copy numbers of P. gingivalis and F. nucleatum were significantly higher than those of other strains. The copy number of T. forsythia in patients who exercised was 54% lower than in those who did not (p=0.009). Other lifestyle factors did not affect the number of bacteria. Exercise habits among the lifestyles showed a association with the number of specific oral bacteria. This result suggests that a lifestyle questionnaire is essential in clinical situation and necessary to prevent and treat the periodontal disease effectively.

• Journal of the Korean Data and Information Science Society
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• v.22 no.3
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• pp.389-400
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• 2011

This study was carried out to analysis factors related to in-hospital mortality of community-acquired peumonia using administrative database. The subjects were 5,353 community-acquired pneumonia inpatients of the Korean National Hospital Discharge Injury Survey 2004-2006 data. The data were analyzed using chi-squared test and decision tree model in the data mining technique. Among the decision tree model, C4.5 had the best performance. The critical factors on in-hospital mortality of communityacquired pneumonia are admission route, respiratory failure, congenital heart failure including age, comorbidity, and bed size. This study was carried out using the administrative database including patients' characteristics and comorbidity. However further study should be extensively including hospital characteristics, regional medical resources, and patient management practice behavior.

• Korean Journal of Bronchoesophagology
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• v.14 no.1
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• pp.54-58
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• 2008

Bronchogenic cysts are rare congenital anomalies of the tracheobronchial tree. Most cases present within the mediastinum or pulmonary parenchyma without a patent connection to the tracheobronchial tree or digestive tract in the pediatric age group. Cervical bronchogenic cysts in adults are rare. In this report, we describe two cases of incidentally found paratracheal bronchogenic cysts that presented as asymptomatic neck masses in a 66-year-old female with papillary thyroid carcinoma and in a 59-year-old male of Catleman's disease.

• Health Policy and Management
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• v.10 no.2
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• pp.1-21
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• 2000

This study reviewde various parametic and nonparametic method for forexasting hospital closures in Korea. We compared multivariate discriminant analysis, multivartiate logistic regression, classfication and regression tree, and neural network method based on hit ratio of each model for forecasting hospital closure. Like other studies in the literture, neural metwork analysis showed highest average hit ratio. For policy and business purposes, we combined the four analytical method and constructed a foreasting model that can be easily used to predict the probabolity of hospital closure given financial information of a hospital.

• Journal of Environmental Health Sciences
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• v.46 no.6
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• pp.735-749
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• 2020

Objectives: The aim of this study was to investigate airborne pollen counts, inhalant allergen sensitization rate, and allergic disease prevalence among elementary school children in Ulsan, South Korea during 2012-2018. Methods: Burkard samplers for pollen were installed on rooftops in suburban and urban areas in Ulsan. A 24-hour sampling of airborne allergens was conducted six days/week from January 1, 2013 to November 31, 2018. Skin prick tests were done with a total of 4,246 primary school students residing in urban and suburban areas in 2012, 2014, 2016, and 2018. This study examined sensitization to 20 major inhalant allergens. Results: The highest monthly counts of airborne pollen were observed in April and September each year. Among the pollen identified over the six years, pine showed the highest pollen counts (44.3%), followed by oak (22.3%), alder (6.3%) and Japanese hops (4.3%). Tree pollen predominated from March to June, and weed pollen predominated from August to October. Higher sensitization rates for inhalant allergens were observed in Dermatophagoides farinae (42.4%), Dermatophagoides pteronyssinus (43.6%), cat fur (12.1%), birch (9.9%), oak (9.6%), and alder (8.7%). The inhalant allergen sensitization rate was highest in the group with comorbidity (asthma and/or rhinitis and atopic dermatitis), and respiratory allergic disease (asthma and/or rhinitis) was higher than that of atopic dermatitis. Conclusion: Both the counts of tree pollen in the air and the sensitization rate for tree pollen were high in Ulsan. The temporal change in respiratory allergic diseases was similar to that for the sensitization rate of tree pollen, such as oak. In the future, it is considered that additional continuous research on various inhalant allergens and pollen should be conducted.

• Journal of Environmental Science International
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• v.32 no.1
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• pp.11-24
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• 2023

This study aimed to provide preliminary data for the improvement of the tree doctor qualification test (first written test), which was newly created by enforcing the Forest Protection Act on June 28, 2018., The high demand for system improvement accelerated this study. The results were analyzeds through literature and questionnaire surveys. Writing test questions and the license of the tree doctor qualification exam are currently managed by the Korea Forestry Research Institute, and it is deemed that the test should be entrusted to Human Resources Development Service of Korea for fair and transparent management. Additionally, the plan for the improvement of the subject-wise scope of examination questions writing, difficulty of test questions, and acceptance rate of the first test should be prepared after public hearings or seminars related to the examination questions.

• Journal of Trauma and Injury
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• v.34 no.4
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• pp.288-293
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• 2021

In South Korea, most patients who visit trauma centers with abdominal injuries have blunt trauma, and penetrating injuries are relatively rare. In extremely rare cases, some patients are admitted with a long object penetrating their abdomen, and these injuries are referred to as abdominal impalement injuries. Most cases of impalement injuries lead to fatal bleeding, and patients often die at the scene of the accident. However, patients who survive until reaching the hospital can have a good prognosis with optimal treatment. A 68-year-old female patient was admitted to the trauma center with a 4-cm-thick tree branch impaling her abdomen. The patient was transported by a medical helicopter and had stable vital signs at admission. The branch sticking out of the abdomen was quite long; thus, we carefully cut the branch with an electric saw to perform computed tomography (CT). CT revealed no signs of major blood vessel injury, but intestinal perforation was observed. During laparotomy, the tree branch was removed after confirming that there were no vascular injuries, and enterostomy was performed because of extensive intestinal injury. After treating other injuries, the patient was discharged without any complications except colostomy. Abdominal impalement injuries are treated using various approaches depending on the injury mechanism and injured region. However, the most important consideration is that the impaled object should not be removed during transportation and resuscitation. Instead, it should only be removed after checking for injuries to blood vessels during laparotomy in an environment where injury control is possible.

• Journal of Korean Academy of Nursing
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• v.49 no.5
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• pp.575-585
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• 2019

Purpose: The purpose of this study was to develop predictive models for pressure ulcer incidence using electronic health record (EHR) data and to compare their predictive validity performance indicators with that of the Braden Scale used in the study hospital. Methods: A retrospective case-control study was conducted in a tertiary teaching hospital in Korea. Data of 202 pressure ulcer patients and 14,705 non-pressure ulcer patients admitted between January 2015 and May 2016 were extracted from the EHRs. Three predictive models for pressure ulcer incidence were developed using logistic regression, Cox proportional hazards regression, and decision tree modeling. The predictive validity performance indicators of the three models were compared with those of the Braden Scale. Results: The logistic regression model was most efficient with a high area under the receiver operating characteristics curve (AUC) estimate of 0.97, followed by the decision tree model (AUC 0.95), Cox proportional hazards regression model (AUC 0.95), and the Braden Scale (AUC 0.82). Decreased mobility was the most significant factor in the logistic regression and Cox proportional hazards models, and the endotracheal tube was the most important factor in the decision tree model. Conclusion: Predictive validity performance indicators of the Braden Scale were lower than those of the logistic regression, Cox proportional hazards regression, and decision tree models. The models developed in this study can be used to develop a clinical decision support system that automatically assesses risk for pressure ulcers to aid nurses.

• Clinical and Experimental Emergency Medicine
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• v.5 no.4
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• pp.230-239
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• 2018

Objective The suicide rate in South Korea is very high and is expected to increase in coming years. Intoxication is the most common suicide attempt method as well as one of the common reason for presenting to an emergency medical center. We used decision tree modeling analysis to identify predictors of risk for suicide by intentional intoxication. Methods A single-center, retrospective study was conducted at our hospital using a 4-year registry of the institute from January 1, 2013 to December 31, 2016. Demographic factors, such as sex, age, intentionality, therapeutic adherence, alcohol consumption, smoking status, physical disease, cancer, psychiatric disease, and toxicological factors, such as type of intoxicant and poisoning severity score were collected. Candidate risk factors based on the decision tree were used to select variables for multiple logistic regression analysis. Results In total, 4,023 patients with intoxication were enrolled as study participants, with 2,247 (55.9%) identified as cases of intentional intoxication. Reported annual percentages of intentional intoxication among patients were 628/937 (67.0%), 608/1,082 (56.2%), 536/1,017 (52.7), 475/987 (48.1%) from 2013 to 2016. Significant predictors identified based on decision tree analysis were alcohol consumption, old age, psychiatric disease, smoking, and male sex; those identified based on multiple regression analysis were alcohol consumption, smoking, male sex, psychiatric disease, old age, poor therapeutic adherence, and physical disease. Conclusion We identified important predictors of suicide risk by intentional intoxication. A specific and realistic approach to analysis using the decision tree modeling technique is an effective method to determine those groups at risk of suicide by intentional intoxication.