• Journal of Preventive Medicine and Public Health
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• v.36 no.2
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• pp.147-152
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• 2003

Objectives : To develop a Diagnosis-Related Group (DRG) fraud candidate detection method, using data mining techniques, and to examine the efficiency of the developed method. Methods ; The Study included 79,790 DRGs and their related claims of 8 disease groups (Lens procedures, with or without, vitrectomy, tonsillectomy and/or adenoidectomy only, appendectomy, Cesarean section, vaginal delivery, anal and/or perianal procedures, inguinal and/or femoral hernia procedures, uterine and/or adnexa procedures for nonmalignancy), which were examined manually during a 32 months period. To construct an optimal prediction model, 38 variables were applied, and the correction rate and lift value of 3 models (decision tree, logistic regression, neural network) compared. The analyses were peformed separately by disease group. Results : The correction rates of the developed method, using data mining techniques, were 15.4 to 81.9%, according to disease groups, with an overall correction rate of 60.7%. The lift values were 1.9 to 7.3 according to disease groups, with an overall lift value of 4.1. Conclusions : The above findings suggested that the applying of data mining techniques is necessary to improve the efficiency of DRG fraud candidate detection.

• Tuberculosis and Respiratory Diseases
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• v.42 no.5
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• pp.760-766
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• 1995

Tracheopatbia osteoplastica is a rare disease of unknown cause and characterized by cartilaginous or bony projection into the tracheobronchial lumen, usually not involved posterior membranous portion of tracheobronchial tree. In the past, most of the cases were diagnosed incidentally at autopsy. But after the introduction of bronchoscopy and computed tomography, antemortem diagnosis was reported. Because of initial presenting symptoms were indolent and non-specific, misdiagnosis was reported frequently and correct diagnosis was delayed usually. We report two cases of tracheopatbia osteoplastica diagnosed by fiberoptic bronchoscopic biopsy.

• Korean Journal of Community Nutrition
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• v.19 no.5
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• pp.468-478
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• 2014

Objectives: Intake of fruits and vegetables has protective effects against stroke attack. This study intended to examine the status of consuming fruits and vegetables and to find out which factors may influence the frequency of consumption of fruits and vegetables in individuals with a history of stroke. Methods: The data of 208 subjects from 5th (2010, 2011) Korea National Health and Nutrition Examination Survey (KNHNES) who reported a stroke diagnosis was used for analysis. To identify major factors influencing the consumption of fruits and vegetables, a classification-tree analysis was carried out. Results: Among those who reported a stroke diagnosis, the frequencies of consumption of fruits and vegetables were influenced by their age, place of residence (urban or rural), economic status, educational level, occupation, number of family members, frequency of eating out, and having meals (breakfast or lunch) with family members. Two factors from fruits and three factors from vegetables were generated by exploratory factor analyses. Urban residents ate fruits and vegetables more frequently in all factors than rural residents. Eating frequencies of 'seasonal fruits (orange, apple, strawberry, melon, pear and watermelon)', 'easily-accessible fruits (persimmon, tangerine, grape, peach, banana)', and 'Western-style vegetables (cabbage, mushroom, carrot, tomato, spinach)' were influenced by the socioeconomic status. Eating frequencies of 'Korean-style vegetables (bean sprout, radish leaves, pumpkin/squash, sea weed)', 'preserved vegetables (Korean cabbage, radish, laver, cucumber)' were influenced by having breakfast with family members. Conclusions: The results of this study suggested that by eating more fruits and vegetables, more preventive effects against secondary stroke attack are expected in stroke patients who live in the rural areas and who do not eat breakfast with family members. In addition, more outreach and education programs are needed for them.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.6
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• pp.104-108
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• 2009

The insulation aging characteristics and structural analysis test were performed to analyze the correlations among the insulation deterioration, diagnostic results and the breakdown strength for the underground power cables. From the results of the degree of crosslinking test, hot-oil test etc., it could be confirmed that there were no manufacturing defects in the power cables under test. From the results of the water tree test and chemical structural analysis, it could be confirmed that the aging status of cable under test were very poor, especially for B-Phase and the degree of aging was increased in the orders of A, C and B-phase. From the above results, it could be concluded that the insulation aging characteristic analysis results were well consistent with the diagnostic and breakdown test results, and also confirmed that the diagnostic system under consideration was successful to discriminate the bad cables which is likely to cause cable system failure.

• Journal of Trauma and Injury
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• v.36 no.3
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• pp.206-209
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• 2023

Purpose: Since its implementation, flexible fiberoptic bronchoscopy (FBS) has played an important role in the diagnosis and treatment of tracheobronchial tree and pulmonary disease. Although FBS is often performed by endoscopists, it has also been performed by surgeons, albeit rarely. This study investigated FBS from the surgeon's perspective. Methods: This retrospective study included patients who underwent FBS performed by a single thoracic surgeon between March 2017 and December 2021. Accordingly, the epidemiology, purpose, results, and complications of FBS were analyzed. Results: A total of 47 patients received FBS, whereas 13 patients underwent repeat FBS. Their mean age was 60.7 years. The main organs injured involved the chest (n=22), brain (n=9), abdominal organ (n=7), cervical spine (n=4), extremities (n=4), and face (n=1). The average Injury Severity Score was 22.5. Indications for FBS included atelectasis or haziness on chest x-ray (n=34), pneumonia (n=17), difficult ventilator management (n=7), percutaneous dilatory tracheostomy (n=3), blood aspiration (n=2), foreign body removal (n=2), and intubation due to a difficult airway (n=1). The findings of FBS were mucous plugs (n=36), blood and blood clots (n=16), percutaneous dilatory tracheostomy (n=3), foreign bodies (n=2), granulation tissue at the tracheostomy site (n=2), tracheostomy tube malposition (n=1), bronchus spasm (n=1), difficult airway intubation (n=1), and negative findings (n=5). None of the patients developed complications. Conclusions: FBS is an important modality in the trauma field that allows for the possibility of diagnosis and therapy. With sufficient practice, surgeons may safely perform FBS at the bedside with relative ease.

• Tuberculosis and Respiratory Diseases
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• v.46 no.5
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• pp.729-734
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• 1999

Broncho-esophageal fistula(BEF) is an uncommon clinical entity which can cause severe suppurative lung disease. Acquired fistulas between the esophagus and tracheobronchial tree are relatively uncommon. They are caused by many diseases including malignancy and chronic inflammation such as tuberculosis and have favorable outcome with proper treatment To our knowledge, there has been no description of patients with BEF due to the bronchiectasis. We report a case of broncho-esophageal fistula in association with bronchiectasis in a 35-year-old male patient with hemoptysis. Bronchoscopy revealed mild bleeding from the superior segment of the right lower lobe without specific endobronchial lesion. Barium esophagogram could not confirm the fistula. The diagnosis of a broncho-esophageal fistula was established by an esophagogastroscopy using fistulogram and subsequent bronchoscopy, in which the communication between the bronchial tree and the esophagus was demonstrated by instilling dye selectively through the fistulous opening using esophagogastroscopy and visualizing the fistula and the bronchial tree. The patient was treated with resection of the right lower lobe, extirpation of the diverticulum and surgical closure of the bronchial defect and fistula, but he suffered from pneumonia thereafter and eventually expired due to sepsis and multiple organ failure.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.230-231
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• 2019

This study is a development on condition based maintenance(CBM) technology which is a core item of future autonomous ships. It is developing to design & installation of condition monitoring system and acquisition & processing of data from ongoing ships for fault prediction & prognosis of engine in operation. The ultimate goal of this study is to develop a predicts and decision support software for marine engine faults. To do this, the FMEA and fault tree analysis of the main engine should be accompanied by the analysis of classification of system, identification of the components, the type of faults, and the cause and phenomenon of the failure. Finally, the CBM system solution software could predict and diagnose the failure of main engine through integrated analysis for bid-data of ongoing ships and engineering knowledge. Through this study, it is possible to pro-actively cope with abnormal signals of engine and to manage efficiently, and as a result, expected that marine accident and ship operation loss during navigation will be prevented in advance.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.2
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• pp.1-9
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• 2023

Research using AI and big data is also being actively conducted in the health and medical fields such as disease diagnosis and treatment. Most of the existing research data used cohort data from research institutes or some patient data. In this paper, the difference in the prediction rate of survival and the factors affecting survival between breast cancer patients in their 40~50s and other age groups was revealed using health insurance review claim data held by the HIRA. As a result, the accuracy of predicting patients' survival was 0.93 on average in their 40~50s, higher than 0.86 in their 60~80s. In terms of that factor, the number of treatments was high for those in their 40~50s, and age was high for those in their 60~80s. Performance comparison with previous studies, the average precision was 0.90, which was higher than 0.81 of the existing paper. As a result of performance comparison by applied algorithm, the overall average precision of Decision Tree, Random Forest, and Gradient Boosting was 0.90, and the recall was 1.0, and the precision of multi-layer perceptrons was 0.89, and the recall was 1.0. I hope that more research will be conducted using machine learning automation(Auto ML) tools for non-professionals to enhance the use of the value for health insurance review claim data held by the HIRA.

• Korean Journal of Radiology
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• v.23 no.4
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• pp.466-478
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• 2022

Objective: ¹⁸F-fluorodeoxyglucose (FDG) PET/CT is often used for detecting malignancy in patients with newly diagnosed hemophagocytic lymphohistiocytosis (HLH), with acceptable sensitivity but relatively low specificity. The aim of this study was to improve the diagnostic ability of ¹⁸F-FDG PET/CT in identifying malignancy in patients with HLH by combining ¹⁸F-FDG PET/CT and clinical parameters. Materials and Methods: Ninety-seven patients (age ≥ 14 years) with secondary HLH were retrospectively reviewed and divided into the derivation (n = 71) and validation (n = 26) cohorts according to admission time. In the derivation cohort, 22 patients had malignancy-associated HLH (M-HLH) and 49 patients had non-malignancy-associated HLH (NM-HLH). Data on pretreatment ¹⁸F-FDG PET/CT and laboratory results were collected. The variables were analyzed using the Mann-Whitney U test or Pearson's chi-square test, and a nomogram for predicting M-HLH was constructed using multivariable binary logistic regression. The predictors were also ranked using decision-tree analysis. The nomogram and decision tree were validated in the validation cohort (10 patients with M-HLH and 16 patients with NM-HLH). Results: The ratio of the maximal standardized uptake value (SUVmax) of the lymph nodes to that of the mediastinum, the ratio of the SUVmax of bone lesions or bone marrow to that of the mediastinum, and age were selected for constructing the model. The nomogram showed good performance in predicting M-HLH in the validation cohort, with an area under the receiver operating characteristic curve of 0.875 (95% confidence interval, 0.686-0.971). At an appropriate cutoff value, the sensitivity and specificity for identifying M-HLH were 90% (9/10) and 68.8% (11/16), respectively. The decision tree integrating the same variables showed 70% (7/10) sensitivity and 93.8% (15/16) specificity for identifying M-HLH. In comparison, visual analysis of ¹⁸F-FDG PET/CT images demonstrated 100% (10/10) sensitivity and 12.5% (2/16) specificity. Conclusion: ¹⁸F-FDG PET/CT may be a practical technique for identifying M-HLH. The model constructed using ¹⁸F-FDG PET/CT features and age was able to detect malignancy with better accuracy than visual analysis of ¹⁸F-FDG PET/CT images.

• Journal of Korean Academy of Nursing
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• v.39 no.4
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• pp.594-601
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• 2009

Purpose: The goal of this study was to evaluate the impact of life style characteristics on the prevalence risk of metabolic syndrome (MS). Methods: A total of 581 adults were recruited from a cardiovascular outpatient clinic. A newly developed comprehensive life style evaluation tool for MS patients was used, and patient data related to the MS diagnosis were reviewed from the hospital records. Results: The overall prevalence of MS was 53.2%, and the mean of MS score was 2.6 for patients at a cardiovascular outpatient clinic (78% of the patients had hypertension). Dietary habits among the life style characteristics had significant influence on the prevalence risk of MS and MS scores. And also interestingly, the classification and regression tree (CART) model suggested that the high prevalence risk groups for MS were older adults (61.5$\leq$age<79.4), and adults between 48.5 and 61.5 yr of age with bad dietary habits. Conclusion: This study indicates that nurses should focus on dietary habits of patients (especially patients classified as high prevalence risk for MS) for improvement and prevention of MS prevalence risk.