• Title/Summary/Keyword: kappa coefficient

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Development of Korean Infant Developmental Assessment Scale (한국형 영아발달사정도구의 개발)

  • Han Kyung-Ja;Bang Kyung-Sook
    • Child Health Nursing Research
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    • v.10 no.3
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    • pp.321-331
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    • 2004
  • Purpose: To develop an Infant Developmental Assesment Scale appropriate for Korean infants that includes cultural context. Method: The total sample included 990 infants aged birth to 24months. The developmental tests were conducted at hospital well baby clinic, daycare centers, public health centers and homes located in city, urban and rural areas. Item analysis was done to examine content validity of the scale. Test responses were analyzed by SPSS to examine the inter-rater reliability, and construct validity. Result: Based on the naturalistic observation and analysis of other developmenta l instruments, 260 Korean infant developmental items were created. The mean score of the developmental quotient of 966 infants was 101.63±10.89. Correlation coefficient of inter-rater reliability was .99. In addition, 84.6% of total items showed Kappa .70 and above. The development quotient was significantly different depending upon the residential area and father's occupation, therefore, construct validity using known group technique was supported. Conclusion: The developed instrument can be used to assess the development of handicapped infants, as well as normal infant's general abilities and to study individual differences within the normal range for Korean.

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Sasang Constitutional Diagnosis by Iridology: Comparitive Study with QSCCII Questionnaire (홍채를 통한 사상체질진단: QSCCII 설문지조사와 비교연구)

  • Park, Hyung-Hoon;Chung, Chong-Un
    • Journal of Society of Preventive Korean Medicine
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    • v.12 no.2
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    • pp.131-143
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    • 2008
  • This study aims at finding out the correlation between sasang constitution diagnosis using QSCCII which is self reporting questionnaire and sasang constitution diagnosis using iridology. In this study, 131 adult male and female participated as testees. The survey on questionnaires of QSCCII were carried out and then photos of irises of the participants were taken. The data from QSCCII was computed in WIN QSCCII version and they were translated into sasang constitution. For iris photos, the iris specialized camera with 1,300,000 picture elements was used, and then the iris photos were also read by computer. The correlation rate between QSCCII sasang constitution and iris sasang constitution was 52.4%, where kappa coefficient shows 0.323, which gives meaningful result statistically. And thus, the result can be used as a reference in sasang constitution diagnosis. For iridology to be served as a tool for sasang constitution diagnosis, criteria need to be developed for more concrete iris sasang constitution diagnosis in the future. And also comparative research is required among sasang constitution professionals and its iridological correlation of Sasang constitution carried out on more various group of people.

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Evaluation of the relationship between sleep bruxism and pulpal calcifications in young women: A clinico-radiological study

  • Tassoker, Melek
    • Imaging Science in Dentistry
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    • v.48 no.4
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    • pp.277-281
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    • 2018
  • Purpose: This study was performed to investigate the relationship between sleep bruxism(SB) and pulpal calcifications in young women. Materials and Methods: A total of 100 female participants between 20 and 31 years of age who were referred to our radiology clinic for a dental check-up, including 59 SB and 41 non-SB patients, were sampled for the analysis. SB was diagnosed based on the American Academy of Sleep Medicine criteria. All teeth were evaluated on digital panoramic radiographs to detect pulpal calcifications, except third molars, teeth with root canal treatment, and teeth with root resorption. Binary logistic regression analysis was used to determine the risk factors for pulpal calcifications. The Spearman correlation coefficient was applied and the Pearson chi-square test was used for categorical variables. To test intra-examiner reproducibility, Cohen kappa analysis was applied. P values <.05 were considered to indicate statistical significance. Results: A total of 2800 teeth were evaluated (1652 teeth from SB patients and 1148 from non-SB patients), and 61% of patients had at least 1 dental pulpal calcification. No statistically significant relationship was found between SB and pulpal calcifications (P>0.05). In SB patients, the total number of pulpal calcifications was 129, while in non-SB patients, it was 84. Binary logistic analysis showed that SB was not a risk factor for the presence of pulpal calcifications(odds ratio, 1.19; 95% CI, 0.52-2.69, P>.05). Conclusion: No relationship was found between SB and pulpal calcifications.

Analysis on the Effect of Spectral Index Images on Improvement of Classification Accuracy of Landsat-8 OLI Image

  • Magpantay, Abraham T.;Adao, Rossana T.;Bombasi, Joferson L.;Lagman, Ace C.;Malasaga, Elisa V.;Ye, Chul-Soo
    • Korean Journal of Remote Sensing
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    • v.35 no.4
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    • pp.561-571
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    • 2019
  • In this paper, we analyze the effect of the representative spectral indices, normalized difference vegetation index (NDVI), normalized difference water index (NDWI) and normalized difference built-up index (NDBI) on classification accuracies of Landsat-8 OLI image.After creating these spectral index images, we propose five methods to select the spectral index images as classification features together with Landsat-8 OLI bands from 1 to 7. From the experiments we observed that when the spectral index image of NDVI or NDWI is used as one of the classification features together with the Landsat-8 OLI bands from 1 to 7, we can obtain higher overall accuracy and kappa coefficient than the method using only Landsat-8 OLI 7 bands. In contrast, the classification method, which selected only NDBI as classification feature together with Landsat-8 OLI 7 bands did not show the improvement in classification accuracies.

Reliability of Lateral Deviation Measurement in the Hyoid Bone With Center Point and Lateral Motion Tests

  • Min, Hye-jin;Yoon, Tae-lim
    • Physical Therapy Korea
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    • v.26 no.3
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    • pp.76-83
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    • 2019
  • Background: The hyoid bone is the only non-jointed structure among the skeletal tissues of the head and neck region, and its movement and posture depend on the attached muscle, ligament, and fascia. The location of the hyoid bone is important for airway maintenance, vocalization, chewing, swallowing, breathing, and head and scapular position. In general, the location of the hyoid bone is measured using radiographs and 3D computed tomography, and no studies have reported on clinical measurement methods. Objects: This study was performed to suggest clinical measurement methods for lateral deviation of the hyoid bone and to evaluate their reliability. Methods: In this study, 24 healthy volunteers (12 males, 12 females) in Cheongju-si participated. Two examiners performed the center point test and lateral motion test twice each to measure the lateral displacement of the hyoid bone. The reliability of the center point test was analyzed using intra-class correlation coefficients (ICC), and the reliability of the lateral motion test was analyzed using Cohen's kappa coefficient. Results: The intra-rater reliability of the center point test was good, and the inter-rater reliability was moderate. The intra- and inter-rater reliability of the lateral motion test showed substantial reliability. Conclusion: Based on these results, the center point test and the lateral motion test can be used as an alternative methods of the measurement of lateral deviation of the hyoid bone for people who have musculoskeletal disorders of the head, neck, and scapula.

Comparison of results between modified-Angoff and bookmark methods for estimating cut score of the Korean medical licensing examination

  • Yim, Mikyoung
    • Korean journal of medical education
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    • v.30 no.4
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    • pp.347-357
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    • 2018
  • Purpose: The purpose of this study was to apply alternative standard setting methods for the Korean Medical Licensing Examination (KMLE), a criterion-referenced written examination, and to compare them to the conventional cut score used on the KMLE. Methods: The process and results of criterion-referenced standard settings (i.e., the modified-Angoff and bookmark methods) were evaluated. The ratio of passing and failing examinees determined using these alternative standard setting methods was compared to the results of the conventional criteria. Additionally, the external, internal and procedural evaluation of these methods were reviewed. Results: The modified-Angoff method yielded the highest cut score, followed sequentially by the conventional method and the bookmark method. The classification agreement between the modified-Angoff and bookmark methods was 0.720 measured by Cohen's ${\kappa}$ coefficient. The intra-panelist classification consistency of modified-Angoff method was higher than bookmark method. However, the inter-panelist classification consistency was vice versa. The standard setting panelists' survey results showed that the procedures of both methods were satisfactory, but panelists had more confidence in the results of the modified-Angoff method. Conclusion: The modified-Angoff method showed results that were more similar to those of the conventional method. Both new methods showed very high concordance with the conventional method, as well as with each other. The modified-Angoff method was considered feasible for adoption on the KMLE. The standard setting panelists responded positively to the modified-Angoff method in terms of its practical applicability, despite certain advantages of the bookmark method.

A Machine Learning-Driven Approach for Wildfire Detection Using Hybrid-Sentinel Data: A Case Study of the 2022 Uljin Wildfire, South Korea

  • Linh Nguyen Van;Min Ho Yeon;Jin Hyeong Lee;Gi Ha Lee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.175-175
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    • 2023
  • Detection and monitoring of wildfires are essential for limiting their harmful effects on ecosystems, human lives, and property. In this research, we propose a novel method running in the Google Earth Engine platform for identifying and characterizing burnt regions using a hybrid of Sentinel-1 (C-band synthetic aperture radar) and Sentinel-2 (multispectral photography) images. The 2022 Uljin wildfire, the severest event in South Korean history, is the primary area of our investigation. Given its documented success in remote sensing and land cover categorization applications, we select the Random Forest (RF) method as our primary classifier. Next, we evaluate the performance of our model using multiple accuracy measures, including overall accuracy (OA), Kappa coefficient, and area under the curve (AUC). The proposed method shows the accuracy and resilience of wildfire identification compared to traditional methods that depend on survey data. These results have significant implications for the development of efficient and dependable wildfire monitoring systems and add to our knowledge of how machine learning and remote sensing-based approaches may be combined to improve environmental monitoring and management applications.

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Dietary Fiber Intake of Middle School Students in Chungbuk Area and Development of Food Frequency Questionnaire (충북지역 중학생의 식이섬유 섭취 실태 및 식품섭취빈도조사지 개발)

  • Kim, Young-Hye;Kang, Yu-Ju;Lee, In-Seon;Kim, Hyang-Sook
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.39 no.2
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    • pp.244-252
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    • 2010
  • This study aimed to offer groundwork for grasp and evaluation of nutritional status and dietary fiber intake through 24-hr recall method among middle school students in Chungbuk area. In addition, this study attempted to develop food frequency questionnaire (FFQ) for dietary fiber intake. Average calorie intake per person a day was 2035.6 kcal for boys, and 1876.7 kcal for girls which were 75.4% and 93.8% of estimated energy requirement (EER), respectively. Percent estimated average requirements (%EAR) of calcium, iron and folate were the lowest showing 34.3%, 54.2%, 67.5% for boys and 36.6%, 59.2%, 64.4% for girls, respectively. Average dietary fiber intake per day was $17.6\pm5.3$ g for boys and $16.5\pm4.8$ g for girls which indicate 54.8% and 68.8% of adequate intake (AI), respectively. The main food sources of dietary fiber were polished rice and kimchi. The main food source groups were vegetables, cereals and their products were fruits, seaweeds in the order named, indicating 68.44% total dietary fiber intake from vegetables and cereals. From preliminary 39 food items, 19 food items were selected to derive the correlation coefficient of each food item between 24-hr recall and FFQ method. Correlation coefficient was increased from 0.71 to 0.78 with significant level of p<0.01 after adjustment of FFQ from 39 items to 19 items set. Percentage of classifying subjects into the same levels by food frequency questionnaire and 24-hr recall based on joints classification quartile Kappa value was evaluated. Agreement was highest in the second lowest group showing percentage to correspond rose from 90.2% to 92.4% and Kappa value of 0.54 to 0.59. Consequently, FFQ developed in this study would be useful for estimating the groups which show low intake.

The Agreements between FEV1 and PEFR in the Patients of Mild Bronchial Asthma (외래 진료가 가능한 경증 천식 환자에서 1초간 노력성 호기량(FEV1)과 최대 호기유속(PEFR)간의 연관성)

  • Chang, Won Chul;Kim, Byung Kook;Kim, Soon Jong;Yoo, Kwang Ha;Lee, Tae-Hun;Lee, Jung Yeon;Lee, Kye Young
    • Tuberculosis and Respiratory Diseases
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    • v.59 no.6
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    • pp.638-643
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    • 2005
  • Background : Several studies have shown considerable disagreement when using the $FEV_1$ and PEFR to assess the severity of an airflow obstruction. A differential classification of the severity of asthma would lead to serious differences in the evaluation and management of asthma. The aim of this study was to examine the relationship between the $FEV_1$ and PEFR in asthma patients with mild symptoms. Methods : In this study, the PEFR and $FEV_1$ were obtained from 92 adult asthma patients with mild symptoms attending an outpatient pulmonary clinic. The mean differences and the limits of agreement in the paired measurements of the $FEV_1$ and PEFR were calculated. Results : There was a considerable correlation between the $FEV_1$ and PEFR measurements when expressed as a % of the predicted values (r=0.686, p<0.01). The 95% limit of agreement (mean difference ${\pm}1.96SD$) between the $FEV_1$ % and PEFR % were acceptable(-27.4%~33.8%). In addition, the weighted ${\kappa}$(kappa) coefficient for the agreement between the $FEV_1$ % and PEFR % was 0.74 (95% CI, 0.63-0.81), indicating excellent agreement between the two measurements. Conclusion : The spirometer ($FEV_1$) and the Mini-Wright peak flow meter (PEFR) can be used interchangeably in adult asthma patients with mild symptom.

Quantitative Evaluation of Nose Deformity of Cleft Lips Using a Neural Network (신경망을 이용한 구순열로 인한 코변형의 정량적 평가)

  • Kim Soo-Chan;Nam Ki-Chang;Kim Jin-Tae;Hong Hyun-Ki;Cha Eun-Jong;Kim Deok-Won
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.43 no.3 s.309
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    • pp.78-84
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    • 2006
  • Our study aimed at quantitative assessment of a cleft palate nose deformity condition by analyzing the following parameters gathered from a photographic image of a cleft palate patient: (1) angle difference between two nostril axes, (2) center of the nostril and distance between two centers, (3) overlapped area of two nostrils, and (4) the overlapped area ratio of the two nostrils. A regression equation of doctor's grades was obtained using the eight parameters. Three plastic surgeons gave us the glades for the each photographic image by to increments with maximum grade of 100. The average reproducibility of the grades given by the three plastic surgeons and the three laymen using the developed program was $10.8{\pm}4.6%\;and\;7.4{\pm}1.8%$, respectively. Kappa values representing the degree of consensus of the plastic surgeons and the three laymen were 0.43 and 0.83, respectively. Correlation coefficient of the grades evaluated by the surgeons and obtained by the regression equation was 0.642 and that of the grades by the surgeons and by the neural network was 0.798. In conclusion, the developed neural network model provided us better reproducibility, much better consensus, and better correlation than doctor's subjective evaluation in addition to objectiveness and easy application.