• 대한한의진단학회지
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• 제14권1호
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• pp.70-78
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• 2010

Objectives : To qualify or enhance the diagnostic ability of students in Oriental Medicine, so called standardized patients are ideal modality, but because it's a man-based method, more convenient tools are required. Computer-based diagnostic ability test program gives effective way for the very purpose. So we made a pilot software evaluating Pattern Identification ability in Oriental Medicine. Methods and Materials : The pilot software was coded with Microsoft's EXCEL VBA. 87 names of Zheng (Symptom Pattern) and 674 names of symptom (including some signs) are adopted from the former standardization works conducted by Korean Institute of Oriental Medicine (KIOM) in 1996. Results : Compared with some manned modalities to test Pattern Identification ability, the test by this software shows superiority in convenience and objectivity. Conclusion : This software is world's first program to perform computer-based evaluation of Pattern Identification in Oriental Medicine, and it gives effective way to complement both written test and manned clinical performance test (CPX).

• 대한방사선기술학회지:방사선기술과학
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• 제16권2호
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• pp.45-50
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• 1993

In this paper, the PAE of tube voltage of 93 diagnostic X-ray units those are using at the 19 general hospitals and 9 local clinics in the area of Sungnam, Inchun, and Seoul have been surveyed. The results are summarized as following. 1. PAE of tube Voltage 70, 100KV at the 56 (60%) X-ray units were ${\pm}7%$ below, at the 8 units (9%), were ${\pm}7%$ above, and those 29 X-ray units (31%) were ${\pm}7%$ below or above with the 70, 100KV tube Voltage in a unit. 2. PAE ${\pm}7%$ below were 68 X-ray units, at the low tube voltage (70KV), and 76 X-ray units at the high tube Voltage (100KV). 3. For six year-use abofe, used X-ray units were PAE ${\pm}7%$ above, and so, the longer used years the more X-ray units became declined in those performance. 4. PAE of tube Voltage were better efficiency at the large capacity 30 X-ray units than small capacity 10. 5. PAE ${\pm}7%$ abovein were only 8 units among 84 diagnostic X-ray units in the general hospitals.

• 농업과학연구
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• 제48권3호
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• pp.473-482
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• 2021

In this study, we attempted to estimate the degree of management of chestnut forestry households in Chungcheongnam-do and to provide information for establishing chestnut cultivation-related policies. The chestnut management standard diagnostic table consists of three major categories, namely, management base, management and sales capacity, and production technology levels, along with 19 subcategories. A survey of 309 chestnut forestry households was conducted from 2014 to 2019 in Gongju, Cheongyang, and Buyeo in Chungcheongnam-do. The average score for the 19 subcategories was 65.7 points, indicating that these areas have excellent management conditions. When the total score was higher, the output per hectare and the rate of top-grade products in the total output were also higher, indicating a significant correlation. These findings will be useful for providing consulting services to chestnut growers as they highlight the correlation between the higher scores of the indicators in the chestnut management standard diagnostic table and the management performance of the farmers. We found that the scores of the indicators for management and sale skill, such as management record and analysis, material purchase, and direct transaction with consumers, were relatively lower than those of the indicators for management base and production skill. It is assumed that the chestnut growers aging has led to negligence in recording details on incomes, expenditures, and work and lowered the willingness to make substantial profits. Therefore, it is essential to overcome these problems for profitable chestnut farming.

• 대한방사선기술학회지:방사선기술과학
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• 제42권5호
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• pp.365-371
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• 2019

We have developed and applied a diagnostic Multi-Leaf Collimator (MLC) to optimized the X-ray field in medical imaging and the usefulness evaluated through the fusion of infrared image and X-ray image acquired by infrared camera. The hand and skull radiography with multi-leaf collimator(MLC) showed significant area dose reductions of 22.9% and 31.3% compared to ARC and leakage dose was compliant with KS A 4732. Also scattering doses of 50 cm and 100 cm showed a significant decrease to confirm the usefulness of MLC. It was confirmed that the fusion of infrared images with an adjustable degree of transparency was possible in the X-ray images. Therefore, fusion of anatomical information with physiological convergence is expected to contribute and improvement of diagnostic ability. In addition, the feasibility of convergence X-ray imaging and DITI devices and the possibility of driving MLC with infrared images were confirmed.

• Nuclear Engineering and Technology
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• 제54권8호
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• pp.2859-2870
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• 2022

Because nuclear power plants (NPPs) are safety-critical infrastructure, it is essential to increase their safety and minimize risk. To reduce human error and support decision-making by operators, several artificial-intelligence-based diagnosis methods have been proposed. However, because of the nature of data-driven methods, conventional artificial intelligence requires large amount of measurement values to train and achieve enough diagnosis resolution. We propose a graph neural network (GNN) based accident diagnosis algorithm to achieve high diagnosis resolution with limited measurements. The proposed algorithm is trained with both the knowledge about physical correlation between components and measurement values. To validate the proposed methodology has a sufficiently high diagnostic resolution with limited measurement values, the diagnosis of multiple accidents was performed with limited measurement values and also, the performance was compared with convolution neural network (CNN). In case of the experiment that requires low diagnostic resolution, both CNN and GNN showed good results. However, for the tests that requires high diagnostic resolution, GNN greatly outperformed the CNN.

• Imaging Science in Dentistry
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• 제52권3호
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• pp.289-294
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• 2022

Purpose: This study aimed to evaluate the diagnostic performance of panoramic images compared to cone-beam computed tomography (CBCT) imaging for maxillary third molar (M3)-associated external root resorption (ERR), and to identify the risk factors of ERR on panoramic images. Materials and Methods: The study population was composed of all patients who underwent panoramic imaging at Dankook University Dental Hospital from May to October 2019. In total, 397 cases of maxillary M3s in 247 patients(147 men and 100 women) were included. The diagnostic accuracy of ERR in panoramic images compared to CBCT images was evaluated using the chi-square test. To identify risk factors for ERR, dental records and panoramic findings were evaluated by logistic regression analysis. Results: The diagnostic accuracy of ERR on panoramic images was 0.79 compared to CBCT images (P<0.05). Superimposition of M3s onto second molars (M2) was associated with an approximately 33 times higher risk of ERR than separated M3s(P<0.05). Impacted M3s showed a 5 times higher risk of ERR than erupted M3s(P<0.05). Conclusion: ERR related to M3s is a common clinical condition, and superimposition of M3 onto M2 on panoramic images was the most important risk factor for ERR. It seemed that CBCT examinations for maxillary M3s might be indicated for ERR diagnosis especially if panoramic radiographs show superimposition of M3 onto M2. Impaction itself was also a risk factor, and it should be carefully examined.

• Journal of Veterinary Science
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• 제24권6호
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• pp.75.1-75.8
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• 2023

Background: In veterinary medicine, previous studies regarding the diagnostic performance of shear wave elastography (SWE) in chronic kidney disease (CKD) are not consistent with each other. Moreover, there has been no study evaluating the relationship between symmetric dimethylarginine (SDMA) concentration and renal shear wave velocity (SWV) using two-dimensional SWE (2D SWE) in dogs with CKD. Objectives: This study aimed to evaluate the diagnostic capability of 2D SWE in dogs with CKD and to assess the relationship between renal SWV and SDMA concentration. Methods: Dogs with healthy kidneys and dogs with CKD underwent 2D SWE and SDMA assay. Renal stiffness was estimated as renal SWV in m/s. Results: SDMA concentration had a weak positive correlation with the left (r = 0.338, p = 0.022) and right renal SWV (r = 0.337, p = 0.044). Renal SWV was not significantly different between healthy kidney and CKD groups in the left (p = 0.085) and right (p = 0.171) kidneys. Conclusions: 2D SWE may could not distinguish between dogs with healthy kidney and dogs with early stage of CKD, but it would be useful for assessing the serial change of renal function in dogs.

• International journal of advanced smart convergence
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• 제13권2호
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• pp.61-68
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• 2024

In the quest for advancing diabetes diagnosis, this study introduces a novel two-step machine learning approach that synergizes the probabilistic predictions of Logistic Regression with the classification prowess of Random Forest. Diabetes, a pervasive chronic disease impacting millions globally, necessitates precise and early detection to mitigate long-term complications. Traditional diagnostic methods, while effective, often entail invasive testing and may not fully leverage the patterns hidden in patient data. Addressing this gap, our research harnesses the predictive capability of Logistic Regression to estimate the likelihood of diabetes presence, followed by employing Random Forest to classify individuals into diabetic, pre-diabetic or nondiabetic categories based on the computed probabilities. This methodology not only capitalizes on the strengths of both algorithms-Logistic Regression's proficiency in estimating nuanced probabilities and Random Forest's robustness in classification-but also introduces a refined mechanism to enhance diagnostic accuracy. Through the application of this model to a comprehensive diabetes dataset, we demonstrate a marked improvement in diagnostic precision, as evidenced by superior performance metrics when compared to other machine learning approaches. Our findings underscore the potential of integrating diverse machine learning models to improve clinical decision-making processes, offering a promising avenue for the early and accurate diagnosis of diabetes and potentially other complex diseases.

• Journal of Microbiology and Biotechnology
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• 제33권11호
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• pp.1457-1466
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• 2023

Enteric fever is caused by typhoidal Salmonella serovars (Typhi, Paratyphi A, Paratyphi B, and Paratyphi C). Owing to the importance of Salmonella serovars in clinics and public hygiene, reliable diagnostics for typhoidal serovars are crucial. This study aimed to develop a novel diagnostic tool for typhoidal Salmonella serovars and evaluate the use of human blood for clinically diagnosing enteric fever. Five genes were selected to produce specific PCR results against typhoidal Salmonella serovars based on the genes of Salmonella Typhi. Heptaplex PCR, including genetic markers of generic Salmonella, Salmonella enterica subsp. enterica, and typhoidal Salmonella serovars, was developed. Typhoidal Salmonella heptaplex PCR using genomic DNAs from 200 Salmonella strains (112 serovars) provided specifically amplified PCR products for each typhoidal Salmonella serovar. These results suggest that heptaplex PCR can sufficiently discriminate between typhoidal and non-typhoidal Salmonella serovars. Heptaplex PCR was applied to Salmonella-spiked blood cultures directly and provided diagnostic results after 12- or 13.5-h blood culture. Additionally, it demonstrated diagnostic performance with colonies recovered from a 6-h blood culture. This study provides a reliable DNA-based tool for diagnosing typhoidal Salmonella serovars that may be useful in clinical microbiology and epidemiology.

• 한국문헌정보학회지
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• 제19권
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• pp.63-112
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• 1990

The environment of the modern library is changing rapidly with advancements in information technology, massive increse in information, and with the changing needs of users for information in order to keep up with developments in science and technology. The library should also be in a constant state of change in accordance with the changing environment. But the current situation is that library organizations in Korea do not show any change. Here arises the need to diagnose the health of these organization. Organizational innovations can be achieved either by change in the organizational structure or administrative methods or in personal attitudes. In making organizational innovations, however, it is not sufficient only to change the organizational structure or the administrative methods without changing personal attitudes. The purpose of this thesis is to diagnose the health of university library organizations in Korea and to suggest prescriptions based on the results of this diagnosis, by means of organization development theory. In this study, the action research model and the diagnostic model were developed for the health of university library organization in Korea. The action research model consisted of 3 steps: diagnosis, intervention and evaluation. The diagnostic model comprised diagnostic criterion and diagnostic indicators. The health of an organization was selected as the diagnostic criterion. Diagnostic indicators were divided into 3 levels: personal job-satisfaction at the individual level, cohesiveness at the group level, and the organizational climate at the organizational level. Both the interview and the questionaire were used as diagnostic methods. The questionaire form was designed according to the Likert typle 5-point scale. For the investigation, 10 university libraries were selected from the private universities in Seoul, and questionaire sheets were sent to their 156 librarians and responses were received from 116 persons. An interview was carried out with a selected chief of departments of the library concerned. The results of the diagnosis show that the average personal job­satisfaction was 3.57, the group cohesiveness was 3.15 and organizational climate was 2.93, and accordingly the comprehensive health indicator was 3.22. The health of university library organizations in Korea was generally on the decline at all 3 levels. In particular, the organizational climate was in a very weak state. Most problems concern dissatisfaction with personnel policy, communications and non-professionally qualified directors. As the prescriptions, the following was suggested: institutionalization of the staff meeting for resolving problems with communication, appointement of professional directors, performance appraisal, conferring faculty status for librarians, and a suggest system. And for the improvement of the organizational climate, managerial grid training was suggested as one of the educational strategies for organizational development.