• Journal of Korean Traditional Oncology
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• v.24 no.2
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• pp.1-11
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• 2019

Objectives : We investigated whether a single center nutrition screening tool (Kyunghee Neo Nutrition Risk Screening, KNNRS) can predict survival in patients with metastatic cancer. Methods : We retrospectively reviewed data of inpatients with metastatic cancer from April 2016 to August 2019. Data on demographic and clinical parameters were collected from electronic medical records, and overall survival was estimated using the Kaplan-Meier method. Stepwise Cox regression analysis was used to determine factors associated with survival. Patients with a KNNRS score of 0 to 3 were classified as "no-risk", 4 to 10 as "low-risk", and 11 to 20 as "high-risk". Results : Total 105 patients were included in the study. According to nutritional screening at baseline, 25 patients (23.8%, median age 57.0) were classified as ""no risk"" group; 80 patients (76.2%, median age 68.5) as "low risk" group; No patients as "high risk" group. Predictors of survival were Eastern Cooperative Oncology Group Performance Status score of 3 or 4 (hazard ratio [HR] = 1.93; 95% confidence interval [CI] = 1.21-3.10), hemoglobin less than 10 g/dL (HR = 1.97; 95% CI = 1.25-3.10) and C-reactive protein more than 1.0 mg/dL (HR = 1.95; 95% CI = 1.21-3.13). Kaplan-Meier survival analysis showed significant differences in the survival between KNNRS groups: ""no risk"" group: 6.1 ± 1.4 months (95% CI = 3.37-8.83); ""low risk"" group: 3.4 ± 0.9 months (95% CI = 1.5-5.37). Conclusions : Nutritional status according to KNNRS wasn't significant predictor of survival for patients with metastatic cancer. Improvement of KNNRS score thresholds is needed.

• Journal of Chest Surgery
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• v.50 no.5
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• pp.329-338
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• 2017

Background: The clinical value of 3-field lymph node dissection (3FLND) in esophageal squamous cell carcinoma (ESCC) remains controversial. This study aimed to identify the patterns and prognostic significance of cervical lymph node metastasis (CLNM) in ESCC. Methods: A retrospective review of 77 patients with E SCC who underwent esophagectomy and 3FLND between 2002 and 2016 was conducted. For each cervical node level, the efficacy index (EI), overall survival, recurrence rate, and complication rate were compared. Results: CLNM was identified in 34 patients (44.2%) who underwent 3FLND. Patients with CLNM had a significantly lower overall survival rate (22.7% vs. 58.2%) and a higher recurrence rate (45.9% vs. 16.3%) than patients without CLNM. CLNM was an independent predictor of recurrence in ESCC patients. Moreover, in patients with pathologic N3 tumors, the odds ratio of CLNM was 10.8 (95% confidence interval, 2.0 to 57.5; p=0.005). Level IV dissection had the highest EI, and level IV metastasis was significantly correlated with overall survival (p=0.012) and recurrence (p=0.001). Conclusion: CLNM was a significant prognostic factor for ESCC patients and was more common among patients with advanced nodal stages. Level IV exhibited the highest risk of metastasis, and dissection at level IV may be crucial when performing 3FLND, especially in advanced nodal stage disease.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.3
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• pp.61-69
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• 2015

This study presents a probabilistic knowledge discovery method to interpret heart rate variability (HRV) based on time and frequency domain indexes, extracted using discrete wavelet transform. The knowledge induction algorithm was composed of two phases: rule generation and rule estimation. Firstly, a rule generation converts numerical attributes to intervals using ROC curve analysis and constructs a reduced ruleset by comparing consistency degree between attribute-value pairs with different decision values. Then, we estimated three measures such as rule support, confidence, and coverage to a probabilistic interpretation for each rule. To show the effectiveness of proposed model, we evaluated the statistical discriminant power of five rules (3 for atrial fibrillation, 1 for normal sinus rhythm, and 1 for both atrial fibrillation and normal sinus rhythm) generated using a data (n=58) collected from 1 channel wireless holter electrocardiogram (ECG), i.e., HeartCall$^{(R)}$, U-Heart Inc. The experimental result showed the performance of approximately 0.93 (93%) in terms of accuracy, sensitivity, specificity, and AUC measures, respectively.

• Journal of KIISE
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• v.43 no.12
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• pp.1396-1403
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• 2016

In streaming data analysis where underlying data distribution may be changed or the concept of interest can drift with the progress of time, the ability to adapt to concept drift can be very powerful especially in the process of incremental learning. In this paper, we develop a general framework for an adaptive incremental classifier on data stream with concept drift. A distribution, representing the performance pattern of a classifier, is constructed by utilizing the distance between the confidence score of a classifier and a class indicator vector. A hypothesis test is then performed for concept drift detection. Based on the estimated p-value, the weight of outdated data is set automatically in updating the classifier. We apply our proposed method for two types of linear discriminant classifiers. The experimental results on streaming data with concept drift demonstrate that the proposed adaptive incremental learning method improves the prediction accuracy of an incremental classifier highly.

• Physical Therapy Rehabilitation Science
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• v.6 no.4
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• pp.176-181
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• 2017

Objective: The timed up and go (TUG) test is method used to determine the functional mobility of persons with stroke. Its reliability, validity, reaction rate, fall prediction, and psychological characteristics concerning ambulation ability have been validated. However, the relationship between TUG performance and community ambulation ability is unclear. The purpose of this study was to investigate whether the TUG performance time could indicate community ambulation levels (CAL) differentially in persons with chronic stroke. Design: Cross-sectional study. Methods: Eighty-seven stroke patients had participated in this study. Based on the self-reporting survey results on the difficulties experienced when walking outdoors, the subjects were divided into the independent community ambulation (ICA) group (n=35) and the dependent community ambulation group (n=52). Based on the area under the curve (AUC), the discrimination validity of the TUG performance time was calculated for classifying CAL. The Binomial Logistic Regression Model was utilized to produce the likelihood ratio of selected TUG cut-off values for the distinguishing of community ambulation ability. Results: The selected TUG cut-off values and the area under the curve were <14.87 seconds (AUC=0.871, 95% confidence interval=0.797-0.945), representing a mid-level accuracy. Concerning the likelihood ratio of the selected TUG cut-off value, it was found that the group with TUG performance times shorter than 14.87 seconds showed a 2.889 times higher probability of ICA than those with a TUG score of 14.87 seconds or longer (p<0.05). Conclusions: The TUG can be viewed as an assessment tool that is capable of classifying CAL.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.19 no.6
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• pp.67-72
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• 2020

Life tests are essential in reducing the catastrophic damage caused by the accidents of large machinery such as aircraft and ships. However, life tests are challenging to implement due to the high costs and time required to test the life of large machinery parts. Therefore, it is advantageous and convenient to apply accelerated life test techniques for key components to reduce costs and time. In fact, extensive research has already been conducted on these techniques. However, recently, there have been cases in which an experimental value was applied to the shape parameter of the Weibull distribution used in the reliability test, but the test time was not significantly reduced. Therefore, in this paper, the shape parameters are estimated from the probability density function of the Weibull distribution for the analysis of an accelerated life test for bladder accumulators, which are core components of military helicopters. The test time was derived based on the number of samples and confidence level by substituting it into the test time equation. Next, the accelerated life test time was calculated using the steady-state test time with an acceleration factor obtained from the Arrhenius model. The steady-state life test required approximately 15,000 H, whereas the accelerated life test time for one sample at 100 ℃ was 34% shorter than that of the steady-state life test.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.05a
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• pp.81-86
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• 2002

In current CBR(Case-Based Reasoning) systems, the case adaptation is usually performed by rule-based method that use rules hand-coded by the system developer. So, CBR system designer faces knowledge acquisition bottleneck similar to those found in traditional expert system design. In this thesis, 1 present a model for learning method of case adaptation knowledge using case base. The feature difference of each pair of cases are noted and become the antecedent part of an adaptation rule, the differences between the solutions in the compared cases become the consequent part of the rule. However, the number of rules that can possibly be discovered using a learning algorithm is enormous. The first method for finding cases to compare uses a syntactic measure of the distance between cases. The threshold fur identification of candidates for comparison is fixed th the maximum number of differences between the target and retrived case from all retrievals. The second method is to use similarity metric since the threshold method may not be an accurate measure. I suggest the elimination method of duplicate rules. In the elimination process, a confidence value is assigned to each rule based on its frequency. The learned adaptation rules is applied in riven target Problem. The basic. process involves search for all rules that handle at least one difference followed by a combination process in which complete solutions are built.

• Journal of Dental Anesthesia and Pain Medicine
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• v.15 no.3
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• pp.135-140
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• 2015

Background: Identifying early markers of septic complications can aid in the diagnosis and therapeutic management of hospitalized patients. In this study, the utility of procalcitonin (PCT) vs. C-reactive protein (CRP) as early markers of sepsis was compared. Methods: A series of 2,697 consecutive blood samples was collected from hospitalized patients and serum PCT and CRP levels were measured. Patients were categorized by PCT level as follows: < 0.05 ng/ml, 0.05-0.49 ng/ml, 0.5-1.99 ng/ml, 2-9.99 ng/ml, and > 10 ng/ml. Diagnostic utility was analyzed by receiver operating characteristic (ROC) curves. Results: Mean CRP levels varied among the five PCT categories at $0.31{\pm}2.87$, $5.65{\pm}6.26$, $13.78{\pm}8.01$, $12.15{\pm}10.16$, and $17.77{\pm}10.59$, respectively (P < 0.05). PCT and CRP differed between positive and negative blood culture groups (PCT: 15.9 vs. 4.78 mg/dl;CRP: 11.5 ng/ml vs. 9.57 ng/ml;P < 0.05). The areas under the ROC curves (PCT, 95% confidence interval [CI]: 0.743, range: 0.698-0.789 at a threshold of 0.5 ng/ml; CRP, 95% CI: 0.540, range: 0.478-0.602 at a threshold of 8 mg/l) differed for PCT and CRP (P < 0.05). Conclusions: Therefore, PCT is a reliable marker for sepsis diagnosis and is more relevant than CRP in patients with a positive blood culture. These findings can be useful for the treatment of critically ill sepsis patients.

• Journal of Engineering Education Research
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• v.13 no.1
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• pp.70-77
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• 2010

The purpose of this study was to verify the educational value of student portfolio and to give the direction of making student portfolio. Qualitative research method was used to accomplish objectives of the study. 9 students who were winner in competition of student portfolio in I University at Incheon Province were interviewed. Data were recorded, transcribed and analyzed. Most students started to make student portfolio by compulsory, but they realized that it was necessary to start student portfolio from the lower grades. They had difficulties in not having materials of activities and hesitated at the beginning of making student portfolio even though they got standard form from the university. Students recognized that making student portfolio was effective tool because it could enhance self-reflection, awareness of importance of record, preparation of future, obtaining of motivation for anonther activities, getting self-confidence, and improvement of writing skill.

• Journal of Korean society of Dental Hygiene
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• v.19 no.6
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• pp.1099-1107
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• 2019

Objectives: The purpose of this study was to investigate the changes in pH in the oral cavity using the probiotic intake method. Methods: A total of 109 participants were enrolled and randomly assigned to three groups. Participants in the control group did not ingest powdered probiotics, those in experimental group 1 ingested powdered probiotics by dissolving them on the tongue, and those in experimental group 2 dissolved powdered probiotics on the tongue and rinsed with water. pH values were measured 5 times in all. The significance of each group was examined by the Kruskal-Wallis test. The trend over time was expressed as a graph with groupwise means and confidence intervals, considering repeated measurement data. Results: A significant difference was found between the control group and experimental group 1 at two time-points, i.e., immediately after intake and 3 min after ingestion. As a result of the time trend, the pH value of experimental group 2 was smaller than that of experimental group 1, compared to the control group. Conclusions: Studies have shown that taking probiotics with water may help reduce changes in oral pH. Probiotics should be aware of live bacteria and provide consumers with more detailed information on proper dosage and precautions.