• Clinical and Experimental Pediatrics
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• v.51 no.9
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• pp.922-934
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• 2008

Developmental language disorder is the most common developmental disability in childhood, occurring in 5-8% of preschool children. Children learn language in early childhood, and later they use language to learn. Children with language disorders are at increased risk for difficulties with reading and written language when they enter school. These problems often persist through adolescence or adulthood. Early intervention may prevent the more serious consequences of later academic problems, including learning disabilities. A child's performance in specific speech and language areas, such as phonological ability, vocabulary comprehension, and grammatical usage, is measured objectively using the most recently standardized, norm-referenced tests for a particular age group. Observation and qualitative analysis of a child's performance supplement objective test results are essential for making a diagnosis and devising a treatment plan. Emphasis on the team approach system in the evaluation of children with speech and language impairments has been increasing. Evidence-based therapeutic interventions with short-term, long-term, and functional outcome goals should be applied, because there are many examples of controversial practices that have not been validated in large, controlled trials. Following treatment intervention, periodic follow-up monitoring by a doctor is also important. In addition, a systematized national health policy for children with speech and language disorders should be provided.

• Korean Medical Education Review
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• v.22 no.2
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• pp.99-114
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• 2020

The rapid development of artificial intelligence (AI), including deep learning, has led to the development of technologies that may assist in the diagnosis and treatment of diseases, prediction of disease risk and prognosis, health index monitoring, drug development, and healthcare management and administration. However, in order for AI technology to improve the quality of medical care, technical problems and the efficacy of algorithms should be evaluated in real clinical environments rather than the environment in which algorithms are developed. Further consideration should be given to whether these models can improve the quality of medical care and clinical outcomes of patients. In addition, the development of regulatory systems to secure the safety of AI medical technology, the ethical and legal issues related to the proliferation of AI technology, and the impacts on the relationship with patients also need to be addressed. Systematic training of healthcare personnel is needed to enable adaption to the rapid changes in the healthcare environment. An overall review and revision of undergraduate medical curriculum is required to enable extraction of significant information from rapidly expanding medical information, data science literacy, empathy/compassion for patients, and communication among various healthcare providers. Specialized postgraduate AI education programs for each medical specialty are needed to develop proper utilization of AI models in clinical practice.

• Parasites, Hosts and Diseases
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• v.59 no.3
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• pp.319-324
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• 2021

Incidence of tsutsugamushi disease (scrub typhus) caused by Orientia tsutsugamushi, is steadily increasing. It is a mite-borne disease transmitted by chigger mites. In this study, the chigger mites were collected from field small mammals in Hwaseong-si (city), Gyeonggi-do (province), Korea, 2019 and 2020. The field small mammals captured were 56 Apodemus agrarius (94.9%) and 3 Crocidura lasiura (5.1%). A total of 7,531 chigger mites were collected from the captured small mammals. Using PCR test, 153 chigger mite pools were examined and 17 pools were reported positive for O. tsutsugamushi. The O. tsutsugamushi were identified to 5 strains; Jecheon strain was most prevalent, followed by Boryong strain. The other strains were OI011, Taguchi, and Shimokoshi. Collectively, these results provide essential regional information on mite-borne tsutsugamushi disease in the Hwaseong-si, and further contribute to bring awareness and rapid diagnosis for the tsutsugamushi disease.

• Childhood Kidney Diseases
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• v.27 no.2
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• pp.111-116
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• 2023

Purpose: This article was to investigate the association between urinary tract infections (UTIs) and high weight status in infancy. Methods: We conducted a nationwide matched cohort study from January 2018 to December 2020 using data from the Korean National Health Insurance System and the Korean National Health Screening Program for Infants and Children. We analyzed the association between UTI diagnosis codes and high weight status (which was defined as being in the 90th percentile or higher of weight-for-age). Results: We found that 22.8% of infants with UTIs exhibited high weight status, compared to 20.0% of non-UTI infants (P<0.001). Per our multivariable analyses, the adjusted odds ratio for high weight status was 1.09 (95% confidence interval, 1.06-1.13). Conclusions: UTI in the first 12 months of life was associated with a weight-for-age percentile of ≥90. Our findings corroborate those of previous single-center studies and emphasize the importance of careful monitoring for this at-risk group.

• Journal of the Korea Institute of Military Science and Technology
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• v.27 no.2
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• pp.294-303
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• 2024

The objective of condition-based maintenance plus(CBM+) is to improve the availability and maintenance efficiency of missiles, bolstering national defense capabilities. This study proposes an application of CBM+ to enhance the reliability and the safety of missiles, which are the devices typically stored for long durations. CBM+ CBM+ does not only contribute to defense capabilities, but it also aims to reduce maintenance costs. This study focuses particularly on the dormant stage of the missile life-cycle, in which various failure modes and environmental impacts on failure mechanisms are investigated. The effectiveness of maintenance strategies and the implementation of CBM+ is evaluated using simulation data.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.34 no.4
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• pp.183-189
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• 2021

In recent years, active research has been devoted toward developing a monitoring system using ambient vibration data in order to quantitatively determine the deterioration occurring in a structure over a long period of time. This study developed a low-cost edge computing system that detects the abnormalities in structures by utilizing the dynamic characteristics acquired from the structure over the long term for ensemble learning. The system hardware consists of the Raspberry Pi, an accelerometer, an inclinometer, a GPS RTK module, and a LoRa communication module. The structural abnormality detection afforded by the ensemble learning using dynamic characteristics is verified using a laboratory-scale structure model vibration experiment. A real-time distributed processing algorithm with dynamic feature extraction based on the experiment is installed on the Raspberry Pi. Based on the stable operation of installed systems at the Community Service Center, Pohang-si, Korea, the validity of the developed system was verified on-site.

• Biomedical Science Letters
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• v.28 no.4
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• pp.334-339
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• 2022

African swine fever virus (ASFV) is a highly contagious and lethal pathogen that poses a threat to the global pork industry. The World Organization for Animal Health (WOAH) has placed strict surveillance measures for ASFV. The possibility of long-term survival of ASFV in raw meat or undercooked pork has been reported. Accordingly, the problem of secondary infection in food waste from households or waste disposal facilities has emerged, raising the need for ASFV monitoring of food waste. However, most of the previously reported ASFV gene detection methods are focused on clinical monitoring of pigs. There are very few cases in which their application in waste has been verified. Since ASFV diagnosis requires rapid monitoring and immediate action, loop-mediated isothermal amplification (LAMP) may be suitable, but this requires conformity assessment for LAMP to be used as a diagnostic technique. In this study, six LAMP methods were evaluated, and two methods (kit and manual) were recommended for use in diagnosing ASFV in food waste.

• Health Policy and Management
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• v.29 no.4
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• pp.482-495
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• 2019

Background: An important function of the regional public hospital is to satisfy the basic medical needs of the community through the stable provision of high-quality medical services. The purpose of this study was to identify the relevance index (RI) of the regional public hospital and to identify the factors that affect the RI. Methods: Data were obtained from the 2017 regional public hospital operation evaluation report and 2017 medical monitoring report for vulnerable area. RI of the regional public hospital was a dependent variable, and multiple regression analysis was performed with observed variables of medical supply-demand condition, medical supply, and medical supply structure. Direct effects and indirect effects were confirmed by the analysis of structural equation models (SEM) to see if there were mediating effects. Results: The RI was 13.1%, and the average of all percentage refined diagnosis-related group (RDRG) was 29.4%. Factors affecting RI were medical supply-demand conditions, medical supply, and medical supply structure. As a result of multiple regression analysis, RI was higher when high percentage RDRG of the regional public hospital (t=4.117, p<0.05), the size of regional public hospital location (t=-2.554, p<0.05), and the population of regional public hospital location (t =-2.415, p<0.05) were smaller. The results of the SEM analysis show that the higher the medical supply-demand conditions, the more direct effect of decreasing the RI and the indirect effect of decreasing the effect of reduction through the medical supply (direct effect=-1.322, total effect=-0.573, p<0.01). The higher the medical supply structure, the more direct effect on the RI (direct effect=1.047, p<0.05) and the higher the medical supply, the more indirect effect of RI through the medical supply structure (total effect=direct effect=0.619, p<0.05). Conclusion: It has been confirmed that the provision of medical services can affect the RI the regional public hospital which should be considered in carrying out future policies.

• Health Policy and Management
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• v.13 no.1
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• pp.98-115
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• 2003

Concerns about growing health insurance expenditures became a national Issue in 2001 when the National Health Insurance went into a deficit. Increases in spending for ambulatory care shared the largest portion of the problem. Methods and systems to control the spending should be developed and a system to measure case mix of providers is one of core components of the control system. The objectives of this article is to examine the feasibility of applying Korean Diagnosis Related Groups (KDRGs) to classify health insurance claims for ambulatory care and to identify problem areas of the classification. A database of 11,586,270 claims for ambulatory care delivered during January 2002 was obtained for the study, and the final number of claims analyzed was 8,319,494 after KDRG numbers were assigned to the data and records with an error KDRG were excluded from the study. The unit of analysis was a claim and resource use was measured by the sum of charges incurred during a month at a department of a hospital of at a clinic. Within group variance was assessed by th coefficient of variation (CV), and the classification accuracy was evaluated by the variance reduction achieved by the KDRG classification. The analyses were performed on both all and non-outlier data, and on a subset of the database to examine the validity of study results. Data were assigned to 787 KDRGs among 1,244 KDRGs defined in the classification system. For non-outlier data, 77.4％ of KDRGs had a CV of charges from tertiary care hospitals less than 100％ and 95.43％ of KDRGs for data from clinics. The variance reduction achieved by the KDRG classification was 40.80％ for non-outlier claims from tertiary care hospitals, 51.98％ for general hospitals, 40.89% for hospitals, and 54.99% for clinics. Similar results were obtained from the analyses performed on a subset of the study database. The study results indicated that KDRGs developed for a classification of inpatient care could be used for ambulatory care, although there were areas where the classification should be refined. Its power to predict tile resource utilization showed a potential for its application to measure case mix of providers for monitoring and managing delivery of ambulatory care. The issue concerning the quality of diagnostic information contained in insurance claims remains to be improved, and significance of future studies for other classification systems based on visits or episodes is guaranteed.

• Korean Journal of Adult Nursing
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• v.12 no.4
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• pp.606-618
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• 2000

The purpose of the study was to investigate the characteristics of the clients registered in the department of home health care nursing in a hospital and to analyze nursing intervention activities recorded in charts by application of Nursing Intervention Classification (NIC) system. For the descriptive survey study, data were collected by reviewing charts of 572 home health care clients between May, 1997 and July, 2000 at K hospital in Seoul. The average age of the clients was 66 years and the number of clients in their 70s ranked first with 28.2 percent(158 people). The mean length of home care service was 47 days with the highest frequency of less than four weeks (56 %). With regard to medical diagnosis, cancer showed the highest frequency (48%, 271 people), followed by cerebrovascular disease (19%), and pulmonary disease (6.9%). According to analysis of nursing interventions by the NIC system, the most frequently used nursing interventions in level 1 were interventions in the Physiological: Complex domain which were used 3,663 times (33%) among 11,107 total interventions. The Safety domain was the second most frequently used intervention, followed by the Physiological: Basic, and the Behavioral domains. In level 2, the Risk Management class was the most frequently used interventions with 3,108 interventions (27.9%), followed by Drug Management, and Tissue Perfusion Management classes. In level 3 interventions, Vital Sign Monitoring was the most frequently used intervention, 569 times (5.1%), followed by Health Screening, and Neurological Monitoring interventions. In sum, half of the clients in the study had cancer and were in their 70s. The most frequent reason for ending home care was death (40%), followed by readmission (28%). These findings represent clients with severe conditions referred to the home care nursing department as it was a University teaching hospital. Further research on analyzing nursing interventions performed in each institution needs to be conducted to develop a standardized list of nursing interventions to use in home health care settings.