• Title/Summary/Keyword: Cohen's Kappa

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How Does Body-Shape Perception Affect the Weight Control Practices?: 2012 Korea National Health and Nutrition Examination Survey (주관적 체형인식이 체중조절방법 선택에 미치는 영향: 2012년 국민건강영양조사 자료를 이용하여)

  • Yoo, Jeong-Eun;Oh, Dal-Seok;Kim, Nam-Kwen
    • Journal of Korean Medicine for Obesity Research
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    • v.14 no.1
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    • pp.29-35
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    • 2014
  • Objectives: This study was to investigate how body-shape perception could influence to weight control practice both in normal and obese group. Methods: We used 2012 Korea National Health and Nutrition Examination Survey to analysis 1) weight control practices of population; 2) consistency between body-shape perception and body mass index; 3) comparison weight control practices between normal group and body mass index (BMI) obese group in perceptional obese group; 4) odds ratio of BMI obese group using herbal drugs for weight control practice in perceptional obese group. Results: We found that study population tends to choose exercise, dietary restriction, meal skip, health functional food, one-food, drug, herbal drug, fasting and self-medication in order of frequency to control weight. The agreement between body-shape perception and BMI within obese group was approximately 64% with 0.40 of Cohen's Kappa coefficient, ranging from 0.384 to 0.423. Within perceptional obese group, choosing each weight control practice methods ratios between normal BMI group and obese BMI group were not significantly different. Within perceptional obese group, obese BMI group showed significant odds ratio (2.58, 95% confidence intervals, 1.38~4.85) than normal BMI group in choosing herbal medication for weight loss when adjusting other variables. Conclusions: We concluded that body-shape perception might be an important factor for choosing weight control program, and roles of Korean medical doctors thought to be enhanced for using herbal medication for weight loss.

Quantitative Analysis of Cancer-associated Gene Methylation Connected to Risk Factors in Korean Colorectal Cancer Patients

  • Kang, Ho-Jin;Kim, Eun-Jeong;Kim, Byoung-Gwon;You, Chang-Hun;Lee, Sang-Yong;Kim, Dong-Il;Hong, Young-Seoub
    • Journal of Preventive Medicine and Public Health
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    • v.45 no.4
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    • pp.251-258
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    • 2012
  • Objectives: The purpose of this paper was to elucidate the potential methylation levels of adjacent normal and cancer tissues by comparing them with normal colorectal tissues, and to describe the correlations between the methylation and clinical parameters in Korean colorectal cancer (CRC) patients. Methods: Hypermethylation profiles of nine genes (RASSF1, APC, $p16^{INK4a}$, Twist1, E-cadherin, TIMP3, Smad4, COX2, and ABCB1) were examined with 100 sets of cancer tissues and 14 normal colorectal tissues. We determined the hypermethylation at a given level by a percent of methylation ratio value of 10 using quantitative methylation real-time polymerase chain reaction. Results: Nine genes' hypermethylation levels in Korean CRC patient tissues were increased more higher than normal colorectal tissues. However, the amounts of $p16^{INK4a}$ and E-cadherin gene hypermethylation in normal and CRC tissues were not significantly different nor did TIMP3 gene hypermethylation in adjacent normal and cancer tissues differ significantly. The hypermethylation of TIMP3, Ecadherin, ABCB1, and COX2 genes among other genes were abundantly found in normal colorectal tissues. The hypermethylation of nine genes' methylation in cancer tissues was not significantly associated with any clinical parameters. In Cohen's kappa test, it was moderately observed that RASSF1 was related with E-cadherin, and Smad4 with ABCB1 and COX2. Conclusions: This study provides evidence for different hypermethylation patterns of cancer-associated genes in normal and CRC tissues, which may serve as useful information on CRC cancer progression.

Evaluation of sealant microleakage using Swept-Source Optical Coherence Tomography (치면열구전색치아의 미세누출 평가를 위한 Swept-Source Optical Coherence Tomography의 타당도 평가)

  • Nam, Sang-Mi;Ku, Hye-Min;Lee, Eun-Song;Kim, Baek-Il
    • The Journal of the Korean dental association
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    • v.56 no.12
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    • pp.686-694
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    • 2018
  • Purpose: The aim of this study was to evaluate the validity of swept-source optical coherence tomography (SS-OCT) for detecting sealant microleakage. Materials and Methods: A total of 31 extracted sound human molar, assigned as suitable for sealant application, were chosen and divided into two groups: (1) no microleakage group and (2) microleakage group by applying sealant using the different methods. All specimens were immersed in 1% methylene blue for 24 h and sectioned to confirm the absence or presence of sealant microleakage as a gold standard method. Subsequently, all the sectioned specimens were digitally photographed using a microscope with a magnification of ${\times}50$. Presence of microleakage was evaluated on a 2-point rating scale. The association of histological method with conventional methods (visual and tactile assessment) and SS-OCT was assessed using a chi-squared test. The intra- and inter-examiner reliability was calculated using Cohen's Kappa. Results: The SS-OCT showed a sensitivity of 0.73 and a specificity of 1.00, while visual and tactile assessment showed a sensitivity of 0.67 and a specificity of 0.86. The inter-examiner reliability of SS-OCT was 0.79, whereas that of the visual and tactile assessment was 0.53. Conclusions: SS-OCT can be used to non-invasively detect sealant microleakage and to monitor pit and fissure sealant in the clinics.

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Clinical Usefulness of LabChip Real-time PCR using Lab-On-a-Chip Technology for Diagnosing Malaria

  • Kim, Jeeyong;Lim, Da Hye;Mihn, Do-CiC;Nam, Jeonghun;Jang, Woong Sik;Lim, Chae Seung
    • Parasites, Hosts and Diseases
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    • v.59 no.1
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    • pp.77-82
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    • 2021
  • As malaria remains a major health problem worldwide, various diagnostic tests have been developed, including microscopy-based and rapid diagnostic tests. LabChip real-time PCR (LRP) is a small and portable device used to diagnose malaria using lab-on-a-chip technology. This study aimed to evaluate the diagnostic performance of LRP for detecting malaria parasites. Two hundred thirteen patients and 150 healthy individuals were enrolled from May 2009 to October 2015. A diagnostic detectability of LRP for malaria parasites was compared to that of conventional RT-PCR. Sensitivity of LRP for Plasmodium vivax, P. falciparum, P. malariae, and P. ovale was 95.5%, 96.0%, 100%, and 100%, respectively. Specificity of LRP for P. vivax, P. falciparum, P. malariae, and P. ovale was 100%, 99.3%, 100%, and 100%, respectively. Cohen's Kappa coefficients between LRP and CFX96 for detecting P. vivax, P. falciparum, P. malariae, and P. ovale were 0.96, 0.98, 1.00, and 1.00, respectively. Significant difference was not observed between the results of LRP and conventional RT-PCR and microscopic examination. A time required to amplify DNAs using LRP and conventional RT-PCR was 27 min and 86 min, respectively. LRP amplified DNAs 2 times more fast than conventional RT-PCR due to the faster heat transfer. Therefore, LRP could be employed as a useful tool for detecting malaria parasites in clinical laboratories.

Decision based uncertainty model to predict rockburst in underground engineering structures using gradient boosting algorithms

  • Kidega, Richard;Ondiaka, Mary Nelima;Maina, Duncan;Jonah, Kiptanui Arap Too;Kamran, Muhammad
    • Geomechanics and Engineering
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    • v.30 no.3
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    • pp.259-272
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    • 2022
  • Rockburst is a dynamic, multivariate, and non-linear phenomenon that occurs in underground mining and civil engineering structures. Predicting rockburst is challenging since conventional models are not standardized. Hence, machine learning techniques would improve the prediction accuracies. This study describes decision based uncertainty models to predict rockburst in underground engineering structures using gradient boosting algorithms (GBM). The model input variables were uniaxial compressive strength (UCS), uniaxial tensile strength (UTS), maximum tangential stress (MTS), excavation depth (D), stress ratio (SR), and brittleness coefficient (BC). Several models were trained using different combinations of the input variables and a 3-fold cross-validation resampling procedure. The hyperparameters comprising learning rate, number of boosting iterations, tree depth, and number of minimum observations were tuned to attain the optimum models. The performance of the models was tested using classification accuracy, Cohen's kappa coefficient (k), sensitivity and specificity. The best-performing model showed a classification accuracy, k, sensitivity and specificity values of 98%, 93%, 1.00 and 0.957 respectively by optimizing model ROC metrics. The most and least influential input variables were MTS and BC, respectively. The partial dependence plots revealed the relationship between the changes in the input variables and model predictions. The findings reveal that GBM can be used to anticipate rockburst and guide decisions about support requirements before mining development.

Comparison of three types of analyzers for urine protein-to-creatinine ratios in dogs

  • Ji, Sumin;Yang, Yeseul;Jeong, Yeji;Hwang, Sung-Hyun;Kim, Myung-Chul;Kim, Yongbaek
    • Journal of Veterinary Science
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    • v.22 no.1
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    • pp.14.1-14.11
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    • 2021
  • Background: Quantitation of urine protein is important in dogs with chronic kidney disease. Various analyzers are used to measure urine protein-to-creatinine ratios (UPCR). Objectives: This study aimed to compare the UPCR obtained by three types of analyzers (automated wet chemistry analyzer, in-house dry chemistry analyzer, and dipstick reading device) and investigate whether the differences could affect clinical decision process. Methods: Urine samples were collected from 115 dogs. UPCR values were obtained using three analyzers. Bland-Altman and Passing Bablok tests were used to analyze agreement between the UPCR values. Urine samples were classified as normal or proteinuria based on the UPCR values obtained by each analyzer and concordance in the classification evaluated with Cohen's kappa coefficient. Results: Passing and Bablok regression showed that there were proportional as well as constant difference between UPCR values obtained by a dipstick reading device and those obtained by the other analyzers. The concordance in the classification of proteinuria was very high (κ = 0.82) between the automated wet chemistry analyzer and in-house dry chemistry analyzer, while the dipstick reading device showed moderate concordance with the automated wet chemistry analyzer (κ = 0.52) and in-house dry chemistry analyzer (κ = 0.53). Conclusions: Although the urine dipstick test is simple and a widely used point-of-care test, our results indicate that UPCR values obtained by the dipstick test are not appropriate for clinical use. Inter-instrumental variability may affect clinical decision process based on UPCR values and should be emphasized in veterinary practice.

Evaluation of dental status using a questionnaire before administration of general anesthesia for the prevention of dental injuries

  • Kyungjin Lee;Seo-Yul Kim;Kyeong-Mee Park;Sujin Yang;Kee-Deog Kim;Wonse Park
    • Journal of Dental Anesthesia and Pain Medicine
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    • v.23 no.1
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    • pp.9-17
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    • 2023
  • Background: Dental evaluation and protection are important for preventing traumatic dental injuries when patients are under general anesthesia. The objective of the present study was to develop a questionnaire based on dentition-related risk factors that could serve as a valuable tool for dental evaluation and documentation. Methods: We developed a questionnaire for dental evaluation before administration of general anesthesia, investigated the association between patient-and-dentist responses and mouthguard fabrication, and assessed response agreement between 100 patients. Results: Protective mouthguards were fabricated for 27 patients who were identified as having a high risk of dental injury. There was a strong association between dentists' responses and mouthguard fabrication, depending on the general oral health status, use of ceramic prosthesis, presence of masticatory pain related to periodontal diseases, gingival edema, and implants (P < 0.05). Response agreement between patients and dentists for items related to dental pain, loss of dental pulp vitality, root canal therapy, dental trauma, aesthetic prosthesis, tooth mobility, and implant prosthesis was high (Cohen's kappa coefficient κ ≥ 0.6). Conclusions: A high agreement was observed between patient-dentist responses and a strong association with mouthguard fabrication for items pertaining to ceramic prosthesis, masticatory pain, and dental implants. Patients with a "yes" response to these items are recommended to undergo a dental evaluation and use a dental protective device while under general anesthesia.

Analysis of the Nature of Science (NOS) in Integrated Science Textbooks of the 2015 Revised Curriculum (2015 개정 교육과정 통합과학 교과서의 과학의 본성(NOS) 분석)

  • Jeon, Young Been;Lee, Young Hee
    • Journal of Science Education
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    • v.44 no.3
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    • pp.273-288
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    • 2020
  • This study aims to investigate the presentation of the Nature of Science (NOS) in integrated science textbooks of the 2015 revised curriculum. The five integrated science textbooks published by the revised 2015 curriculum were analyzed with the conceptual framework of the four themes of the Nature of Science (NOS) (Lee, 2013) based on scientific literacy. The four themes of the NOS are 1. nature of scientific knowledge (theme I), 2. nature of scientific inquiry (theme II), 3. nature of scientific thinking (theme III), and 4. nature of interactions among science, technology, and society. The reliability of the textbooks analysis was measured between two coders by the Cohen's kappa and resulted in between 0,83 and 0,96, which means the results of analysis was consistent and reliable. The findings were as follows. First, overall theme II, nature of scientific inquiry emphasized on the integrated science textbooks of the 2015 revised curriculum by devoting the contents over 40 % in the all five publishing companies' textbooks. Second, while the theme II, nature of scientific inquiry was emphasized on the textbooks regardless of the publishing companies, other themes of the NOS were emphasized in different portions by the publishing companies. Thus, the focus among other three themes of the NOS was presented differently by the publishing companies except that in theme II, nature of scientific inquiry was most emphasized on integrated science textbooks. Third, the presentation of the NOS was identified similarly across the topics of integrated science textbooks except on topic 4. Environment and Energy. The theme IV, nature of interactions among science, technology, and society was emphasized reasonably only in the topic of Environment and Energy of the textbooks. Finally, the presentation of the NOS in the integrated science textbooks of the 2015 revised curriculum were more balanced among the four themes of the NOS with focus on the scientific inquiry compared to the previous curriculum textbooks.

A Performance Comparison of Machine Learning Classification Methods for Soil Creep Susceptibility Assessment (땅밀림 위험지 평가를 위한 기계학습 분류모델 비교)

  • Lee, Jeman;Seo, Jung Il;Lee, Jin-Ho;Im, Sangjun
    • Journal of Korean Society of Forest Science
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    • v.110 no.4
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    • pp.610-621
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    • 2021
  • The soil creep, primarily caused by earthquakes and torrential rainfall events, has widely occurred across the country. The Korea Forest Service attempted to quantify the soil creep susceptible areas using a discriminant value table to prevent or mitigate casualties and/or property damages in advance. With the advent of advanced computer technologies, machine learning-based classification models have been employed for managing mountainous disasters, such as landslides and debris flows. This study aims to quantify the soil creep susceptibility using several classifiers, namely the k-Nearest Neighbor (k-NN), Naive Bayes (NB), Random Forest (RF), and Support Vector Machine (SVM) models. To develop the classification models, we downscaled 292 data from 4,618 field survey data. About 70% of the selected data were used for training, with the remaining 30% used for model testing. The developed models have the classification accuracy of 0.727 for k-NN, 0.750 for NB, 0.807 for RF, and 0.750 for SVM against test datasets representing 30% of the total data. Furthermore, we estimated Cohen's Kappa index as 0.534, 0.580, 0.673, and 0.585, with AUC values of 0.872, 0.912, 0.943, and 0.834, respectively. The machine learning-based classifications for soil creep susceptibility were RF, NB, SVM, and k-NN in that order. Our findings indicate that the machine learning classifiers can provide valuable information in establishing and implementing natural disaster management plans in mountainous areas.

A Short form of the Gray-Wheelwright Test (단축형 그레이-휠라이트 검사)

  • Ju-Kab Lee;Sung-Hyun Kim;Yong-Wook Shin
    • Sim-seong Yeon-gu
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    • v.33 no.1
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    • pp.61-80
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    • 2018
  • We investigated whether the 81 items of the Gray-Wheelwright test correctly measure the concept of Jung's typology and aimed to refine the test. Participants (n=431) completed the Gray-Wheelwright test, and the results were analyzed using factor analysis with the varimax rotation and the maximum likelihood extraction method. A pair of opposing attitudes, introversion/extroversion, or one of the two pairs of opposing functional types, thinking/feeling or intuition/sensation, was labeled to the extracted factor according to the majority type of the items in the factor. The minority items or items not included in any factors were excluded from making a short form of the Gray-Wheelwright test with 45 items. We used intraclass correlation (ICC) coefficient and Cronbach's alpha for the test-retest reliability and internal consistency of the test, respectively. The newly developed short form of the Gray-Wheelwright test measured the Jung's personality types well, which was comparable to the original one while reducing time and effort required for the testing.