• Korean Journal of Digital Imaging in Medicine
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• v.8 no.1
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• pp.39-43
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• 2006

PACS has been run at the Kyung Hee University Medical Center since 2001, and the installation and operation of PACS have contributed to automation and quantification of center's medical environment. In order to classify tile annual number of trouble cases processed by PACS, the authorshave made a classification code system which enabled detailed statistical processes for each section. Such process method has not only shown the management efficiency to trouble management of PACS, but also raised the interests in frequently occurring troubles, and enabled the prediction of troubles that may occur hereafter. Predictable troubles lead to preventive check, and this has direct effects on medical treatment and the hospital administration. The authors intend to arouse the necessity of preventive check of PACS by analyzing trouble management processes for the last 1 year.

• Journal of Preventive Medicine and Public Health
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• v.31 no.4 s.63
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• pp.592-603
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• 1998

This study was conducted to estimate incidence rate of female breast cancer in a defined area of Chungchongbuk-do in Korea. The presumptive breast cancer cases were selected from two different sources, i.e., medical utilization database of the National Health Insurance Corporation and the database from the National Cancer Registry. Medical students visited each hospital where the presumptive cases had been treated as a breast cancer patient, and made a dictation of medical record of each patient based on the claims stored in the Insurance Corporation from January to December 1995. The diagnoses in the claims included one of the following diagnostic codes; ICD-9 174-175(malignant neoplasms of the breast), 233(carcinoma in situ of the breast and genito-urinary system)or ICD-10 C50(malignant neoplasms of the breast), D05(carcinoma in situ of the breast and genito-urinary system). Each case has been confirmed as having a breast cancer by a breast surgeon through a medical record review. Age-standardized incidence rate of female breast cancer to the Korean population was estimated to be 10.5(95%confidence interval : 8.1-12.9)per 100,000 persons in 1995. Age-standardized rate to the world population was 9.8 per 100,000 persons, and the truncated rate for ages 35-64 was 27.2 per 100,000 persons. Validity of these estimates is discussing in comparison with previous methods of incidence estimation in Korea.

• Korea Journal of Hospital Management
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• v.10 no.2
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• pp.45-63
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• 2005

The purposes of this study are to understand the doctors' attitude and satisfaction about the review system of national health insurance claim in Korea and to suggest the way to improve this system This study conducted a survey of the doctors registered in the medical association in Seoul city. The survey was performed as a form of self-administered questionnaire from January 2004 to February 2004. The contents of questionnaire dealt with doctors' attitude and satisfaction about the review system of medical service claim. Totally, 1,037 members replied to our survey and we analysed 981 doctors' data, excluding incomplete responses. As a result, 89.7% of repliers showed a negative attitude about the influences of the review system on improvement of medical service quality, 98.0% of repliers have had experiences that they have given distorted insufficient medical services in order to evade the curtailment of service claim. Also, 91.6% of repliers stated that they have had experiences of intentional modification or alteration of diagnostic code to shun the curtailment. Most of the doctors showed negative attitude to the curtailment procedure and the review system of service claim originally intended to be one of the quality control methods of medical service in Korea also, the development of both scientific and reasonable parameters and criteria for claim is needed. 'Through the improvement of review system for appropriate medical service, there is a need of a way to increase the satisfaction of medical service providers, and to encourage the motivation for quality control. Also, education is strongly needed to provide doctors with sufficient information about review criteria and curtailment cases.

• Proceedings of the KIEE Conference
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• 2001.07c
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• pp.1676-1678
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• 2001

In general, power demand is on an increasing trend as industries have made rapid strides. Power transformer is the most important equipment in substation for this reason. Transformer trobles go with blackout, expensive repair costs and huge economic losses. Therefore it is important to find the quick detection of incipient fault for the least losses. There have been gas, partial discharge, temperature, OLTC, fan and pump diagnosis for preventive techniques by present. Specially gas analysis has been adapted for a long time and proved as confident method. In this paper, we analysed the fault causes of used power transformer. The insulation faults was occupied 40% of inquired 152 faults from 1991 to 2000. This study presents the developed algorithm and expert system for finding abnormal status within transformer. We used the Element Expert tool developed Neuron DATA Inc.

• Journal of Society of Preventive Korean Medicine
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• v.7 no.2
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• pp.45-64
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• 2003

This study was conducted to examine the recognition level of the people on oriental medical Services and the need for it's improvement. Data were collected from 1174 residents in Daegu metropolitan city and Gyungbuk province. According to the satisfaction level with each items of oriental medical services, the respondents had positive views on efficacy, kindness, and side-effects. They, however, had negative view on the cost of oriental medical services. In regarding to the priority of improvement of oriental medical system, 'expansion of insurance benefit package' ranked first. Followed by 'safety of herbal medicine(heavy metal/pesticides)', 'improvement of scientific methods and diagnostic technique' etc. For the further development of oriental medical services in the consumer - focused and evidenced-based health care environment, much attention to implement relevant health policy reflecting user's need positively should be made.

• Journal of Oriental Neuropsychiatry
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• v.19 no.3
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• pp.171-178
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• 2008

Objective: The purpose of this study is investigation of relationship between HRV(Heart Rate Variability) and Hwa-Byung in general population. Methods: HBDIS(Hwa-Byung Diagnostic Interview Schedule) was carried out for 658 participants in Wonju Cohort study that include short term electrode HRV test. We also classified whole participants into sex. Collected data was analyzed by the Mann-Whitney U test. Result: SDNN(Standard Deviation of NN interval) was significant different in HRV between Normal and Hwa-Byung of male participants. Conclusion: In the findings of this study, Hwa-Byung is not closely related to the autonomic nerve system.

• The Journal of the Korean dental association
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• v.49 no.8
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• pp.451-460
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• 2011

Dental caries has been widely prevalent with presence of cavitation on teeth. For the last several decades, the prevalence of dental caries in developed countries has rapidly decreased so there has been needed a new and detailed diagnostic guideline to differentiate the severity of dental caries, especially for early status of caries. The cariology specifically requires the development of an integrated definition of dental caries and uniform systems for measuring the caries process in the fields of clinical diagnosis and treatment, epidemiological researches, and dental education and so forth. The international Caries Detection and Assessment System (ICDAS) optically measures the enamel surface changes and potential histological depth of carious lesions by relying on surface characteristics of teeth. ICDAS is a visual classification system that was developed to diagnose the subtle changes of enamel surface, predict the progress direction of early caries, allow standardized data collection in relation to caries in different settings, and to enable better comparison of oral health between countries worldwide and research studies.

• Journal of IKEEE
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• v.23 no.4
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• pp.1157-1165
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• 2019

This paper discussed the results of the development and application of the machine learning algorithm to the induction motor for the preventive diagnostic system using current and magnetic flux signals. The optimal 29 features were extracted for identifying faulted types of induction motor. In particular, any load rate was derived using the tendency of the difference value from the center of the 7th harmonic frequency to the sideband of the current signal, and the corresponding classification accuracy showed about 84.6% by the KPCA feature reduction technique and the k-NN determination algorithm.

• Journal of the Korea Society of Computer and Information
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• v.19 no.11
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• pp.149-157
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• 2014

Diabetes is a chronic disease that requires continuous medical care and patient-self management education to prevent acute complications and reduce the risk of long-term complications. The worldwide prevalence and incidence of diabetes mellitus are reached epidemic proportions in most populations. Early detection of diabetes could help to prevent its onset by taking appropriate preventive measures and managing lifestyle. The major objective of this research is to develop an automated decision support system for detection of diabetes using mixture of experts model. The performance of the classification algorithms was compared on the Pima Indians diabetes dataset. The result of this study demonstrated that the mixture of expert model achieved diagnostic accuracies were higher than the other automated diagnostic systems.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.6
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• pp.1-10
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• 2023

The nuclear power plant(NPP)'s Instrumentation and Control(I&C) system periodically conducts integrity checks for the maintenance of self-diagnostic function during normal operation. Additionally, it performs functionality and performance checks during planned preventive maintenance periods. However, there is a need for technological development to diagnose failures and prevent accidents in advance. In this paper, we studied methods for estimating the reliability function by utilizing environmental data and self-diagnostic data of the I&C equipment. To obtain failure data, we assumed probability distributions for component features of the I&C equipment and generated virtual failure data. Using this failure data, we estimated the reliability function using representative artificial intelligence(AI) models used in survival analysis(DeepSurve, DeepHit). And we also estimated the reliability function through the Cox regression model of the traditional semi-parametric method. We confirmed the feasibility through the residual lifetime calculations based on environmental and diagnostic data.