• 간호행정학회지
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• 제8권1호
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• pp.5-15
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• 2002

This study was attempted to help in explore new direction about classification of the severity of the pediatric patients admitted at NICU. Data were collected from 230 patients who admitted at Neonatal Intensive Care Unit of 3 University hospitals and 1 General hospital during 7 months period from september 1, 2000 to April 30, 2001. The results were as follows: 1. The degree of severity of the pediatric patients admitted at NICU shown ranged 1-102 and averaged 17.7. 2. With the respect to the severity of the pediatric patients admitted at NICU, there were statistically significant relation in passing day(s) to admission(r=-.153, p=.020), hospital day(s)(r-.501, p=.000), gestational age(r=-.354, p=.000), birth weight(r=-.280, p=.000), Apgar score at 1 min and at 5 min(4=-.340, p=.000; r=-.322, p=.000), present body weight(r=-.151, p=.023). 3. The severity of the pediatric patients according to general characteristics, there were significant difference in admitting day of the patients(t=2.339, p=.020), Apgar score at 1min and 5min(F=7.893, p=.000; t=3.568, p=.001).

• Journal of Preventive Medicine and Public Health
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• 제30권4호
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• pp.884-892
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• 1997

Currently, there are 100 community emergency centers which expect to provide professional emergency care like Level 1 trauma centers in U.S.A. To evaluate perforance of emergency centers, most studies have been widely adopted death rate based methods such as Trauma and Injury Severity Score(TRISS) and A Severity Characterization of Trauma(ASCOT). However, these methods are only applicable in situation where registration process of trauma patients is well established. Therefore, an alternative method should be applied to evaluate performance of emergency centers in Korea which does not have well-developed registration scheme. This study aims to develop new performance measures which are applicable to Korea and evaluate performance of 35 community emergency centers through new measures. The new measures are included that 'W-statistic' ; death rate calculated on the basis of International Classification based Injury Severity Score(ICISS), and 'the degree of severity' ; rate of severe trauma patients of each emergency medical centers. The study results can be summarized as follows. First, about 34% of sample emergency centers show they provide proper care in terms of their function. Second, tertiary hospitals, university hospitals, and hospitals located in Seoul show higher severity degree of patients and lower severity-adjusted death rate.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권10호
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• pp.2627-2642
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• 2023

Parkinson's disease (PD) is a typical, chronic neurodegenerative disease involving the concentration of dopamine, which can disrupt motor activity and cause different degrees of gait disturbance relevant to PD severity in patients. As current clinical PD diagnosis is a complex, time-consuming, and challenging task that relays on physicians' subjective evaluation of visual observations, gait disturbance has been extensively explored to make automatic detection of PD diagnosis and severity rating and provides auxiliary information for physicians' decisions using gait data from various acquisition devices. Among them, wearable sensors have the advantage of flexibility since they do not limit the wearers' activity sphere in this application scenario. In this paper, an attention-based temporal network (ATN) is designed for the time series structure of gait data (vertical ground reaction force signals) from foot sensor systems, to learn the discriminative differences related to PD severity levels hidden in sequential data. The structure of the proposed method is illuminated by Transformer Network for its success in excavating temporal information, containing three modules: a preprocessing module to map intra-moment features, a feature extractor computing complicated gait characteristic of the whole signal sequence in the temporal dimension, and a classifier for the final decision-making about PD severity assessment. The experiment is conducted on the public dataset PDgait of VGRF signals to verify the proposed model's validity and show promising classification performance compared with several existing methods.

• The Journal of Korean Physical Therapy
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• 제27권4호
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• pp.234-239
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• 2015

Purpose: This study is not a fragmentary study on characteristics of respiratory synergist when breathing, however it was intended to determine the effect of currently available respiratory exercise and to provide basic clinical information through investigation of oxygen demand and respiratory synergist that mobilizes for respiration during application of respiratory exercise. Methods: Experimental group I was selected from second grade of severity classification of GOLD, which has the highest percentage among patients with COPD, and experimental group II was selected from third grade of severity classification as a clinical sampling. After respiration pursing up lips and diaphragm respiration exercise were mediated together for six weeks, activity of respiratory muscles and oxygen saturation were measured and analyzed. Results: In comparison of change of respiratory synergist and oxygen saturation, activity of respiratory synergist in sternocleidomastoid muscle and scalene muscle showed a meaningful decrease in experimental group I. And, in comparison of change of respiratory synergist and oxygen saturation, activity of respiratory synergist in rectus abdominis muscle showed a meaningful increase in experimental group II. In comparison of change of respiratory synergist and oxygen saturation, activity of respiratory synergist in sternocleidomastoid muscle, scalene muscle, and rectus abdominis muscle showed a meaningful difference between experimental groups. Conclusion: Respiratory synergists work mainly as agonist of chest and upper limbs. Therefore it is very important to lower mobilization of respiratory synergist when breathing. It is considered that a multilateral approach and continued clinical research for improvement of respiratory function for patients with COPD will be needed in the future.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2019년도 학술발표회
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• pp.150-150
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• 2019

The development of prolong and severe drought can directly impact on the environment, agriculture, economics and society of country. A lot of efforts have been made across worldwide in the planning, monitoring and mitigation of drought. Currently, different drought indices such as the Palmer Drought Severity Index (PDSI), Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI) are developed and most commonly used to monitor drought characteristics quantitatively. However, it will be very meaningful and essential to develop a more effective technique for assessment and monitoring of onset and end of drought. Therefore, in this study, the hidden Markov Bayesian classifier (MBC) was employed for the assessment of onset and end of meteorological drought classes. The results showed that the probabilities of different classes based on the MBC were quite suitable and can be employed to estimate onset and end of each class for meteorological droughts. The classification results of MBC were compared with SPI and with past studies which proved that the MBC was able to account accuracy in determining the accurate drought classes. For more performance evaluation of classification results confusion matrix was used to find accuracy and precision in predicting the classes and their results are also appropriate. The overall results indicate that the MBC was effective in predicating the onset and end of drought events and can utilized for monitoring and management of short-term drought risk.

• 시스템엔지니어링학술지
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• 제18권1호
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• pp.46-57
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• 2022

In this paper, we proposed the DFMEA Implementation Method for safety design of Weapon System. First, we presented the process for DFMEA. And then, the case analysis of OOO missile was performed in accordance with the process presented. After defining the system requirements of OOO missile, failure definition scoring criteria was set. In order to clarify the definition of failure, the failure was classified into safety, reliability, maintainability and others. After performing the function analysis, the relationship matrix analysis was performed to identify the failure mode according to the function without omission. After clarifying the failure classification, mode of failure, cause of failure and effect were analyzed to calculate the severity, occurrence and detection values. After the action priority was judged, the recommended action according to the failure classification was identified for the determined action priority. The results of this study can be used as a relevant basis for the design reflection and resource re-allocation of stakeholders.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.230-237
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• 2022

It is difficult to predict industrial accidents in the construction industry because many accident factors, such as human-related factors and environment-related factors, affect the accidents. Many studies have analyzed the severity of injuries and types of accidents; however, there were few studies on the prediction of injured body parts. This study aims to develop a classification model to predict the part of the injured body based on accident-related factors. Construction accident cases from June 2018 to July 2021 provided by the Korea Construction Safety Management Integrated Information were collected through web crawling and then preprocessed. A naïve Bayes classifier, one of the supervised learning algorithms, was employed to construct a classification model of the injured body part, which has four categories: 1) torso, 2) upper extremity, 3) head, and 4) lower extremity. The predictor variables are accident type, type of work, facility type, injury source, and activity type. As a result, the average accuracy for each injured body part was 50.4%. The accuracy of the upper extremity and lower extremity was relatively higher than the cases of the torso and head. Unlike the other classifications, such as spam mail filtering, a naïve Bayes classifier does not provide a good classification performance in construction accidents. The reasons are discussed in the study. Based on the results of this study, more detailed guidelines for construction safety management can be provided, which help establish safety measures at the construction site.

• 대한한방내과학회지
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• 제36권3호
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• pp.308-322
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• 2015

Objectives: Whether there exists a distinct pathogenesis in subgroups of functional dyspepsia (FD), the classification of epigastric pain syndrome (EPS), and postprandial distress syndrome (PDS) remains controversial. We aimed to investigate the number of fungiform papillae (FP) in the subgroups of FD and its correlation with the severity of dyspepsia symptoms and spleen qi deficiency. Methods: Patients with FD were enrolled from August to November 2014. All patients were evaluated using a questionnaire and divided into 2 groups according to the Rome III criteria for FD. The severity of dyspepsia symptoms and spleen qi deficiency were separately assessed by Nepean Dyspepsia Index-Korean (NDI-K) version and Spleen qi deficiency questionnaire (SQDQ). The number of FP was measured on the anterior part of tongue, within an area of 9 mm ², using a digital cam Results: The NDI-K score, SQDQ score, and number of FP in the EPS group were significantly greater than those in the PDS group. Also, the EPS group had more patients diagnosed with spleen qi deficiency. The number of FP showed a significant positive correlation with epigastric pain and burning. Furthermore, the number of FP was significantly associated with the score of some items in NDI-K and SQDQ, even though not with the total score. Conclusions: Thus, measurement of the number of FP could be a new evaluation indicator for allocation into FD subtypes and to investigate the severity of dyspepsia symptoms and spleen Qi deficiency reflecting visceral hypersensitivity.

• 대한소아치과학회지
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• 제11권1호
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• pp.121-130
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• 1984

Childrens between the ages of 13 and 15 years, living in Seoul, were examined in order to determine the prevalence and severity of malocclusion in the permanent dentition. This survey encompassed 981 children and an individual chart was prepared for each subject recording an original HMAR score and classification of occlusion according to Angle. Also, subjective evaluation of "treatment needs" was carried out in 581 children. The results were as follows: 1. Of the 981 children in this survey, 12,1 percent showed excellent occlusion. (0 point) 2. The 14 percent of the children who had a score of 24 and above all appeared to belong to the "treatment highly desirable" or "treatment mandatory" category. 3. The incorporation of SAR (Supplementary Assessment Record) into the HMAR can provide more sensitive method for evaluating severity of malocclusion. 4. According to Angle's classification 77.4 percent of all malocclusion belonged to Class I, 1.3 percent to Class II, Division 1, 0.9 percent to Class II, Division 2, and 11.3 percent to Class III. 5. The mean HMAR score for Class I was significantly lower than for either Class II, Division 1 or Class III. (P < 0.05) 6. A close relationship was found between the degree of "treatment needs" and the value obtained by the HMAR scoring. (chi-square test, p < 0.05) The differences between the mean HMAR scores of the various subjectively defined categories were statistically significant. (P < 0.001)

• 동서간호학연구지
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• 제28권1호
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• pp.10-20
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• 2022

Purpose: We compared the Korean Triage and Acuity Scale (KTAS), Injury Severity Score (ISS), and Revised Trauma Score (RTS) determined the validity of KTAS for classifying trauma patients. Methods: A retrospective chart review of 10,865 trauma patients (aged ≥15 years) who visited a single regional trauma and emergency medical center from January 1, 2016, to December 31, 2020, was conducted. Data were collected from the Korean Trauma Data Bank. Based on KTAS classification, the rates of intensive care unit admission, surgery and intervention, transfusion, emergency room (ER) and hospital mortality, and ER stay time were investigated. Data were analyzed using Chi-square test, Pearson's correlation coefficient, receiver operating characteristic curve, and area under the ROC curve. Results: In the KTAS, severe trauma patients (ISS ≥16) were classified as Level 1 (79.6%), 2 (44.8%), 3 (15.5%), 4 (4.0%) and 5 (7.6%). The following were the predictive powers of KTAS, ISS, and RTS for different parameters: surgery and intervention rate, KTAS (.71), ISS (.70), and RTS (.63); transfusion rate within 4h, KTAS (.82), ISS (.82), and RTS (.74); ER stay time within 90 min, KTAS (.72), ISS (.62), and RTS (.56); and ER mortality, KTAS (.84), ISS (.72), and RTS (.88). These findings were statistically significant (p<.001). The sensitivity and specificity of KTAS for trauma patients were .88 (.87~.90), and .38 (.37~.39), respectively. Conclusion: KTAS is a useful classification system that can predict the clinical outcomes of patients with trauma, and effectively triage acutely ill trauma patients, thus provide appropriate treatment.