• 대한한의진단학회지
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• 제10권1호
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• pp.141-152
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• 2006

Background and Objectives: The diagnosis of flood stasis pattern is one of the most important methods in oriental medicine. The aim of this study is to Develop clinically useful questionaire of Blood stasis(瘀血) and quantitative analysis. Methods: The questionnaire including symptoms and signs for diagnosis of Blood stasis pattern is studied by delphi method and statistical analysis. Result: By the delphi method and statistical analysis, 14 Items of questionnaries are choosen. Conclusion: Further research is necessary for improvement reliabilities and validities of the questionnaires of Blood stasis pattern.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2003년도 추계학술대회 논문집(III)
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• pp.529-534
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• 2003

Within industry induction motors have a broad application area to drive pumps, fans, elevators and electric trains. Sudden failures of such machines can cause the heavy economical losses and the deterioration of system reliability. Based on the reliability and cost competitiveness of driving system (motors), the faults detection and the diagnosis of system are considered very important factors. In order to perform the faults detection and diagnosis of motors, the vibration monitoring method and motor current signature analysis (MCSA) method are emphasized. In this paper, MCSA method are used for induction motor fault diagnosis. This method analyzes the motor's supply current, since this diagnoses faults of the motor. The diagnostic algorithm is based on the principal component analysis(PCA), and the diagnosis system is programmed by using LabVIEW and MATLAB.

• Journal of Acupuncture Research
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• 제29권5호
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• pp.61-74
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• 2012

Objectives : This study is perfomed for preparation of oriental medicine clinical guidelines for drawing up the standards of oriental medicine demonstration and diagnosis classification about the knee pain. Methods : Statistical analysis about Crane's-knee wind(鶴膝風), arthralgia syndrome(痺症), knee injury(膝傷), gout arthritis(痛風), Youk jeol poung(歷節風) classified experts' opinions about knee pain patients by Delphi method is conducted by using oriental medicine diagnosis questionnaire. The result was classified by using linear discriminant analysis(LDA), diagonal linear discriminant analysis(DLDA), diagonal quadratic discriminant analysis(DQDA), K-nearest neighbor classification(KNN), classification and regression trees(CART), support vector machines(SVM). Results : The results are summarized as follows. 1. The result analyzed by using LDA has a hit rate of 81.65% in comparison with the original diagnosis. 2. The result analyzed by using DLDA has a hit rate of 63.3% in comparison with the original diagnosis. 3. The result analyzed by using DQDA has a hit rate of 65.14% in comparison with the original diagnosis. 4. The result analyzed by using KNN has a hit rate of 74.31% in comparison with the original diagnosis. 5. The result analyzed by using CART has a hit rate of 75.23% in comparison with the original diagnosis when the test of selected 13 significant questions based on analysis of variance was performed. 6. The result analyzed by using SVM has a hit rate of 87.16% in comparison with the original diagnosis. Conclusions : Statistical analysis using oriental medicine diagnosis questionnaire on knee pain generally turned out to have a significant result.

• Journal of Oral Medicine and Pain
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• 제49권3호
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• pp.57-64
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• 2024

Purpose: The aim of this study is to analyze the final diagnosis and the pain characteristics of patients with suspected nonodontogenic toothache and to contribute to the knowledge on differential diagnosis. Methods: A retrospective analysis was conducted based on medical records from 185 patients. The following data were collected: age, sex, pain characteristics, radiographic results, initial diagnosis and treatment, and final diagnosis and treatment. The final diagnosis and the pain characteristics of the 3 most common final diagnoses were analyzed. Results: Myofascial pain (MFP) was the most prevalent diagnosed condition accounting for 37.8% of cases, followed by pulpal pain (P) at 31.4%, and trigeminal neuralgia (TN) at 18.9%. There were significant differences in age, onset of the pain, and pain intensity across the 3 groups (all p<0.01). TN group exhibited a lower frequency of spontaneous and continuous pain than the MFP and P groups (all p<0.001). The proportion of patients reporting pain alleviating and aggravating factors related to dental pain was significantly higher in the P group than in the MFP and TN groups (all p<0.001). A concordance rate of 57.0% was observed between the initial and the final diagnosis. Twenty-six patients underwent tooth extractions and 24 patients had root canal treatments. Conclusions: It is important to differentiate between dental pain and nonodontogenic toothache to avoid unnecessary dental treatments. Comprehending the pain characteristics of each condition, taking a thorough history taking, and performing diagnostic tests can help differential diagnosis.

• Journal of Advanced Marine Engineering and Technology
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• 제30권2호
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• pp.253-259
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• 2006

There is few study which automatically diagnoses the fault from ship's monitored data. The bigger control and monitoring system is. the more important fault diagnosis and maintenance is to reduce damage caused by system fault. This paper proposes fault diagnosis system using a correlation analysis algorithm which is able to diagnose and forecast the fault from monitored data and is composed of fault detection knowledge base and fault diagnosis knowledge base. For all kinds of ship's engine room monitored data are classified with combustion subsystem, heat exchange subsystem and electric motor and pump subsystem, To verify capability of fault detection, diagnosis and prediction, FMS(Fault Management System) is developed by C++. Simulation by FMS is carried out with population data set made by the log book data of 2 months duration from a large full container ship of H shipping company.

• 한국마린엔지니어링학회:학술대회논문집
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• 한국마린엔지니어링학회 2005년도 전기학술대회논문집
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• pp.251-256
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• 2005

There is few study which automatically diagnose the fault from ship's monitored signal. The bigger control and monitoring system is, the more important fault diagnosis and maintenance is to reduce damage brought forth by system fault. This paper proposes fault diagnosis system using a correlation analysis algorithm which is able to diagnose and forecast the fault and is composed to fault detection knowledge base and fault diagnosis knowledge base. For this all kinds of ship's engine room monitored data are classified with combustion subsystem, heat exchange subsystem and electric motor and pump subsystem by analyzing ship's operation data. To verifying capability of fault detection, diagnosis and prediction, Fault Management System(FMS) is developed by C++. Simulation experiment by FMS is carried out with population data set made by log book data of 2 months duration from a large full container ship of H shipping company.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2003년도 하계학술대회 논문집 Vol.4 No.1
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• pp.518-521
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• 2003

A new measurement system was developed by fault diagnosis system for traction motor using current signal analysis. The motor current signature analysis method is used for traction motor fault diagnosis. The diagnosis system program is constructed by artificial neural networks algorithm, those results from the program are used to train neural networks. The trained neural networks have the ability to compute adaptive results for non-trained inputs, and to calculate very fast due to original parallel structure of neural networks with high accuracy within destined tolerance. This system suggested that available test for checking, the probable extent of aging, and the rate of which aging is taking place.

• Hip & pelvis
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• 제34권1호
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• pp.56-61
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• 2022

Purpose: Histopathologic analysis of femoral head specimens following total hip arthroplasty (THA) is a routine practice that represents a significant use of health care resources. However, it occasionally results in discovery of undiagnosed hematopoietic malignancy and other discrepant diagnoses such as avascular necrosis. The purpose of this study was to determine the rate of discordant and discrepant diagnoses discovered from routine histopathological evaluation of femoral heads following THA and perform a cost analysis of this practice. Materials and Methods: A review of patients undergoing primary THA between 2004-2017 was conducted. A comparison of the surgeon's preoperative and postoperative diagnosis, and the histopathologic diagnosis was performed. In cases where the clinical and histopathology differed, a review determined whether this resulted in a change in clinical management. Medicare reimbursement and previously published cost data corrected for inflation were utilized for cost calculations. Results: A review of 2,134 procedures was performed. The pathologic diagnosis matched the postoperative diagnosis in 96.0% of cases. Eighty-three cases (4.0%) had a discrepant diagnosis where treatment was not substantially altered. There was one case of discordant diagnosis where lymphoma was diagnosed and subsequently treated. The cost per discrepant diagnosis was $141,880 and per discordant diagnosis was $1,669 when using 100% Medicare reimbursement and Current Procedural Terminology (CPT) code combination 88304+88311. Conclusion: Histopathologic analysis of femoral head specimens in THAs showed an association with high costs given the rarity of discordant diagnoses. Routine use of the practice should be at the discretion of individual hospitals with consideration for cost and utility thresholds.

• Communications for Statistical Applications and Methods
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• 제8권3호
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• pp.823-829
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• 2001

Even though a rapid development of modem medical science, paralysis disease is a highly dangerous and murderous disease. Shin et al. (1978) constructed the diagnosis expert system which identify a type of the paralysis disease from symptoms of a paralysis disease patients by using the canonical discriminant analysis. The decision tree-based analysis, however, has advantages over the method used in Shin et al. (1998), such as it does not need assumptions - linearity and normality, and suggest appropriate diagnosis procedure which is easily explained. In this paper, we applied the decision tree to construct the model which Identify a type of the paralysis disease.

• 대한치과교정학회지
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• 제22권4호
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• pp.755-778
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• 1992

It is prerequisite of orthodontists to diagnose malocclusion correctly and make treatment plans accurately for treating maloccluded patients efficiently and earning more stable and better results. Recently computers were introduced in orthodontic diagnosis steps, which enabled orthodontists to get more precise diagnosis, to make more accurate treatment planning and to provide better orthodontic cares for more patients. The authors studied on the diagnostic analysis methods which have been used frequently in Korea and made a diagnostic computer program including the horizontal and/or vertical measurement of length, degrees and proportions in lateral cephalometric radiographs, the analysis of the skeletal and soft-tissue features and the evaluation of the treatment results. We also made a scheduling program for arrangement and management of patients. 40 skeletal and 24 soft-tissue landmarks were selected in a lateral cephalometric radiographs. The available analysis methods in this program are Angular analysis, Linear analysis, Ricketts analysis, Profilogram , Steiner analysis, Tweed analysis, MacNamara analysis, Open bite analysis, Kim's diagnosis, Skeleto-dental cephalometric analysis and Height & weight analysis. We suggested that this diagnostic computer program make it possible for orthodontists to get more rapid and accurate diagnostic analysis and treatment planning and for patient to earn better and more efficient orthodontic service.