• Journal of Korea Artificial Intelligence Association
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• v.1 no.1
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• pp.1-6
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• 2023

This study developed models using decision forest, support vector machine, and logistic regression methods to predict and prevent suicidal ideation among Korean adolescents. The study sample consisted of 51,407 individuals after removing missing data from the raw data of the 18th (2022) Youth Health Behavior Survey conducted by the Korea Centers for Disease Control and Prevention. Analysis was performed using the MS Azure program with Two-Class Decision Forest, Two-Class Support Vector Machine, and Two-Class Logistic Regression. The results of the study showed that the decision forest model achieved an accuracy of 84.8% and an F1-score of 36.7%. The support vector machine model achieved an accuracy of 86.3% and an F1-score of 24.5%. The logistic regression model achieved an accuracy of 87.2% and an F1-score of 40.1%. Applying the logistic regression model with SMOTE to address data imbalance resulted in an accuracy of 81.7% and an F1-score of 57.7%. Although the accuracy slightly decreased, the recall, precision, and F1-score improved, demonstrating excellent performance. These findings have significant implications for the development of prediction models for suicidal ideation among Korean adolescents and can contribute to the prevention and improvement of youth suicide.

• The Journal of Pediatrics of Korean Medicine
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• v.21 no.3
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• pp.145-156
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• 2007

Objectives The object of this study is to investigate the characteristics of Ryodoraku score in the Children who visited Department of Pediatrics, Hospital of Oriental Medicinewith Growth treatment as a chief complaint. Methods Subjects were 58 children who visited Department of Pediatrics, Hospital of Oriental Medicine the first time with Growth treatment as a chief complaint. We measured the height and Ryodoraku score, and we also checked bone age from some of them. This study was designed to investigate the characteristics of Ryodoraku score in children with Growth treatment as a chief complaint. Results and Conclusions The results were follows 1. The average value of Ryodoraku score in 58 children was $41.8800{\pm}13.82641$. 2. The value of H1(肺), H5(三焦), H6(大腸), H2(心包), H3(心), F4(膀胱) and F5(膽) had significant statistical differences compared to its total average. 3. The value of F3(腎) had no relationship with Mid-Parental Height(MPH) percentile. 4. The value of F1(脾), F3(腎) and total average was classified by the height percentile values when children visitedand the difference between the predicted height percentile, and it resulted as there were no relationship between those two

• Research in Community and Public Health Nursing
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• v.4 no.2
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• pp.131-138
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• 1993

The purpose of this study was to identify K.A.P. of industrial workers on health management. The study was conducted Dec 5, 1992 to March 10, 1993. The results were as follows : 1. The total Score of K.A.P. of industrial worker on the Knowledge of industrial health management was 2.52, the Attitude score was 42, the Practice score 2, 62. 2. The office workers' score on K.A.P.(T=-2. 11, P=.038) Attitude score(T=-2.03, P=.045) were higher than that of productive workers' 3. The K.A.P. score of married worker was higher than that of single workers, and showed significant differences statistically. 4. There are significant statistical differences in the Attitude score of workers according to age(F=2.26, F=.0304). 5. There were statistically significant differences among total Scores of K.A.P. (F=3.1141, P=.0498). Practice score(F=8.4421, P=.0004), Knowledge Score (F=3.5833, P=.0323). Performed 84.7%. 6. The relationship between industrial worker's health level score and industrial health status had reverse relationship(R=-.7689. P<.001) Therefore the companies that performed better health management attained a higher health level.

• Radiation Oncology Journal
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• v.27 no.1
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• pp.15-22
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• 2009

Purpose: This study was designed to evaluate the effects on bone mineral density (BMD) and related factors according to the distance from the radiation field at different sites. This study was conducted on patients with uterine cervical cancer who received pelvic radiotherapy. Materials and Methods: We selected 96 patients with cervical cancer who underwent determination of BMD from November 2002 to December 2006 after pelvic radiotherapy at Kosin University Gospel Hospital. The T-score and Z-score for the first lumbar spine (L1), fourth lumbar spine (L4) and femur neck (F) were analyzed to determine the difference in BMD among the sites by the use of ANOVA and the post-hoc test. The study subjects were evaluated for age, body weight, body mass index (BMI), post-radiotherapy follow-up duration, intracavitary radiotherapy (ICR) and hormonal replacement therapy (HRT). Association between the characteristics of the study subjects and T-score for each site was evaluated by the use of Pearson's correlation and multiple regression analysis. Results: The average T-score for all ages was -1.94 for the L1, -0.42 for the L4 and -0.53 for the F. The average Z-score for all ages was -1.11 for the L1, -0.40 for the L4 and -0.48 for the F. The T-score and Z-score for the L4 and F were significantly different from the scores for the L1 (p<0.05). There was no significant difference between the L4 and F. Results for patients younger than 60 years were the same as for all ages. Age and ICR were negatively correlated and body weight and HRT were positively correlated with the T-score for all sites (p<0.05). BMI was positively correlated with the T-score for the L4 and F (p<0.05). Based on the use of multiple regression analysis, age was negatively associated with the T-score for the L1 and F and was positively correlated for the L4 (p<0.05). Body weight was positively associated with the T-score for all sites (p<0.05). ICR was negatively associated with the T-score for the L1 (p<0.05). HRT was positively associated with the T-score for the L4 and F (p<0.05). Conclusion: The T-score and Z-score for the L4 and F were significantly higher than the scores for the L1, a finding in contrast to some previous studies on normal women. It was thought that radiation could partly influence BMD because of a higher T-score and Z-score for sites around the radiotherapy field. We suggest that a further long-term study is necessary to determine the clinical significance of these findings, which will influence the diagnosis of osteoporosis based on BMD in patients with cervical cancer who have received radiotherapy.

• The Korean Journal of Rehabilitation Nursing
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• v.4 no.1
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• pp.31-45
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• 2001

The purpose of this study was to investigate the relationship between self-concept and self-care activities of the cerebral palsied adolescents and to gain the baseline data for development of effective rehabilitation nursing intervention program of the cerebral palsied adolescents. The design of this study was a descriptive correlational study. The subjects of the study were 160 cerebral palsied adolescents attending at special schools located in Seoul and Kyonggi and rehabilitation centers located in Seoul, Kyonggi and Kyongnam province. The data was collected from May 20 to July 20, 2000. The instrument used for this study were the self-concept scale(50items 4point scale) and self-care activities scale(29items 4point scale). Self-Concept Scale had developed by Fitt(1965), which was standardized by Chung(1968) and modified by Kim(1984). Self-Care Activities Scale developed by the researcher through out the consulting of expert and pilot study on the basis of ADL check list developed by Kang(1984) and LDSQ-3(Lambeth Disability Screening Questionnair-3) developed by Na et al. (1995). The data was analyzed by the SPSS/PC+program using frequency, percentage, mean, standard deviation, t-test, ANOVA & Scheffe test and Pearson's correlation coefficient. The results of this study were as follows; 1. The mean score of self-concept was $138.55{\pm}17.20$(range: 50-100), which the item mean score was $2.77{\pm}0.34$(range: 1-4). The score of subarea of the self-concept was the highest score in family self ($3.01{\pm}0.54$) and the lowest score in physical self ($2.52{\pm}0.42$). 2. The mean score of self-care activities was $95.25{\pm}21.69$ (range: 29-116), which the item mean score was $3.28{\pm}0.75$ (range: 1-4). The score of subarea of the self-care activities was the highest score in feeding($3.75{\pm}0.59$) and the lowest score in walking($2.64{\pm}1.21$). 3. There were statistically significant difference in the score of self-concept according to the age (F=3.24, P=.04), the grads (F=4.36, P=.01), and types of cerebral palsy (F=2.42, P=.03). 4. There were statistically significant difference in the score of self-care activities according to the age (F=8.29, P=.00), the grads (F=16.05, P=.00), types of living place (F=6.46, P=.00), types of cerebral palsy (F=48.92, P=.00), whether or not receiving a rehabilitation therapy (t=-3.64, P=.00), whether or not receiving a vocational training (t=2.14, P=.03), and whether or not using a device (t=-7.42, P=.00). 5. There was not significant correlation between self-concept and self-care activities (r=.081, P=.311).

• Journal of Acupuncture Research
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• v.29 no.3
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• pp.115-120
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• 2012

Objectives : This study was done for reporting the effect of acupuncture treatment on Ryodoraku score of the patients with chronic low back pain due to the kidney deficiency Methods : We investigated 37 cases of patients with chronic low back pain due to the kidney deficiency, and devided patients into two groups : We specially treated one group by acupuncture treatment, which was not applied to the other group we analyzed of each group the Ryodoraku score(F3) of each group before and after acupuncture treatment and compared it. Results : 1. In acupuncture treatment group compared with baseline, at final, Ryodoraku score(F3) was significantly increased. 2. At final, acupuncture treatment group showed significant increase on Ryodoraku score(F3) score compared with non acupuncture treatment group. Conclusions : It is suggested that Ryodoraku score(F3) should be available for diagnosing kidney deficiency-induced chronic low back pain as a promising diagnostic index and a outcome measurement.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1109-1124
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• 2022

This study proposes a marine debris monitoring methods using satellite and drone multispectral images. A multi-layer perceptron (MLP) model was applied to detect marine debris using Sentinel-2 satellite image. And for the detection of marine debris using drone multispectral images, performance evaluation and comparison of U-Net, DeepLabv3+ (ResNet50) and DeepLabv3+ (Inceptionv3) among deep learning models were performed (mIoU 0.68). As a result of marine debris detection using satellite image, the F1-Score was 0.97. Marine debris detection using drone multispectral images was performed on vegetative debris and plastics. As a result of detection, when DeepLabv3+ (Inceptionv3) was used, the most model accuracy, mean intersection over union (mIoU), was 0.68. Vegetative debris showed an F1-Score of 0.93 and IoU of 0.86, while plastics showed low performance with an F1-Score of 0.5 and IoU of 0.33. However, the F1-Score of the spectral index applied to generate plastic mask images was 0.81, which was higher than the plastics detection performance of DeepLabv3+ (Inceptionv3), and it was confirmed that plastics monitoring using the spectral index was possible. The marine debris monitoring technique proposed in this study can be used to establish a plan for marine debris collection and treatment as well as to provide quantitative data on marine debris generation.

• Korean Journal of Artificial Intelligence
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• v.12 no.2
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• pp.1-7
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• 2024

In this paper, we compare three models (logistic regression, Random Forest, and XGBoost) for predicting stroke occurrence using data from the Korea National Health and Nutrition Examination Survey (KNHANES). We evaluated these models using various metrics, focusing mainly on recall and F1 score to assess their performance. Initially, the logistic regression model showed a satisfactory recall score among the three models; however, it was excluded from further consideration because it did not meet the F1 score threshold, which was set at a minimum of 0.5. The F1 score is crucial as it considers both precision and recall, providing a balanced measure of a model's accuracy. Among the models that met the criteria, XGBoost showed the highest recall rate and showed excellent performance in stroke prediction. In particular, XGBoost shows strong performance not only in recall, but also in F1 score and AUC, so it should be considered the optimal algorithm for predicting stroke occurrence. This study determines that the performance of XGBoost is optimal in the field of stroke prediction.

• Korean Journal of Materials Research
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• v.33 no.7
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• pp.273-278
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• 2023

In this study, based on the saturation magnetic flux density experimental values (B_s) of 622 Fe-based bulk metallic glasses (BMGs), regression models were applied to predict B_s using artificial neural networks (ANN), and prediction performance was evaluated. Model performance evaluation was investigated by using the F1 score together with the coefficient of determination (R² score), which is mainly used in regression models. The coefficient of determination can be used as a performance indicator, since it shows the predicted results of the saturation magnetic flux density of full material datasets in a balanced way. However, the BMG alloy contains iron and requires a high saturation magnetic flux density to have excellent applicability as a soft magnetic material, and in this study F1 score was used as a performance indicator to better predict B_s above the threshold value of B_s (1.4 T). After obtaining two ANN models optimized for the R² and F1 score conditions, respectively, their prediction performance was compared for the test data. As a case study to evaluate the prediction performance, new Fe-based BMG datasets that were not included in the training and test datasets were predicted using the two ANN models. The results showed that the model with an excellent F1 score achieved a more accurate prediction for a material with a high saturation magnetic flux density.

• Journal of Korean Academy of Nursing
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• v.27 no.1
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• pp.36-48
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• 1997

This survey was performed to evaluate and compare cognitive function, self-esteem and depression in the elderly related to aging. The data were collected from 200 elders in eight homes for the elderly in Taegu. Data collection was done from June 1 to 31, 1996. The scale used to measure cognitive function was the MMSE-K(Mini-Mental State Examination-Korea), Self-esteem was measmed using Rosenberg's self-esteem scale and depression using SDS(Self-rating Depression Scale). A comparison of cognitive function, self-esteem and depression by aging were summarised as follows : 1. There were significant differences on the cognitive function score in the elderly according to age group(F=24.81, P<.01). 2. There were significant differences on the self-esteem score in the elderly according to age group(F=3.84, P<.5). 3. There were significant differences on the depression score in the elderly according to age group (F=5.90, P<.1). 4. The general characteristics which affected the cognitive function scores of the elders were sex (F=8.45, P<.5), educational level(F=8.86, P<.5), spousing(F=34.59. P<.01), and the perception of health(F=4.63, P<.5). 5. The general characteristic which affected the self-esteem scores of the elders was the perception of health(F=3.81. P<.5). 6. The general characteristic which affected the depression scores was the educational level(F=3.96, P<.5).