• The Journal of the Society of Korean Medicine Diagnostics
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• v.12 no.1
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• pp.142-184
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• 2008

Background: There was seldom study about method that diagnose 8 Constitution beside method of pulse diagnosis in 8 Constitution Medicine. Objectives: This study is to make out 8 Constitution Medicine Diagnosis Expert System Development used CBR(Case based Reasoning). Methods: First, at case base construction process we constructed case base for CBR embodiment because gathering 925 cases all to patient who constitution is verified, and second, at study model establishment process superior expert system development by purpose CBR of reasoning process dividing fundamental type CBR that spend basis data value and expert type I II III CBR that reflect weight in basis data value according to advice expert opinion, and third, system embodiment process explained about way to give process and weight that diagnose constitution through Nearest Neighbor Method sampling process of CBR techniques, and fourth, at system estimation process we selected superior CBR model because comparing and estimate the diagnosis rate of expert system with fundamental type system (GECBR) model and expert type I II III CBR system (AVCBR, AACBR, AGCBR) model that reflect expert opinion in fundamental type system. GECBR and AGCBR chose on superior study model. Through such 4 study process, we developed 8 constitution diagnosis expert system lastly. Results: 1. When we select GECBR that is fundamental type by reasoning system, diagnosis rate 78.91% of 8 constitution diagnosis expert system is expected, and the constitution diagnosis rate Hepatonia 90.4%, Cholecystonia 63.0%, Pancreotonia 91.1%, Gastrotonia 0%, Pulmotonia 71.2%, Colonotonia 74.4%, Renotonia 37.5%, Vesicotonia 67.1% expect. 2. When we select AGCBR that is expert type III by reasoning system, diagnosis rate 77.51% of 8 constitution diagnosis expert system is expected, and the constitution diagnosis rate Hepatonia 93.4%, Cholecystonia 58.5%, Pancreotonia 91.1%, Gastrotonia 0%, Pulmotonia 73.1%, Colonotonia 64.4%, Renotonia 41.7%, Vesicotonia 72.2% expect. Conclusion: Based on this study, 8 constitution diagnosis expert system may give help to diagnose 8 constitution, and it is going to utilize as objective estimation tool of 8 constitution diagnosis, and further study for 8 Constitution Medicine Diagnosis Expert System Development used CBR(Case based Reasoning) is needed to supplement this study.

• Journal of Embryo Transfer
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• v.16 no.1
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• pp.7-14
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• 2001

The aims of these study were to diagnose early pregnancy and reproductive disorders by using progesterone concentration and ultrasonography. The measurement of blood progesterone (P$_4$) concentration was conducted to diagnose pregnancy and to detect corpus luteum (CL) or evaluate disorder of CLs. As a result, the incidence rates of reproductive disorders were as follows : SH and EED (41.9%), inacitve ovaries (32.6%), follicullar cyst (9.3%), PCL (7.0%), endometritis (4.7%), pyometra (2.3%) and luteal cyst (2.3%). 61 Cows having P$_4$concentration 1.0 ng/ml(at the insemination) were increased to 1.0 ng/ml $\geq$ 6day after insemination. 50 cows among 61 cows were diagnosed pregnant. 8 cows among 13 HanWoos having P$_4$concentration 1.0 ng/ml at the insemination and 1.0 ng/mnl 6 day after insemination had non-ovulatory estrus and the others had P$_4$concentration 1.0 ng/ml at the insemination and 1.0 ng/ml $\geq$ 6 day after insemination, which was the error of estrus detection. All 13 cows were diagnosed non-pregnant. 47 cows diagnosed pregnant after insemination of P$_4$concentration 3.0 ng/ml were examined by ultrasonography at 30 day post-insemination. As a result, 41 cows were diagnosed pregnant (87.2%) but 14 cows having P$_4$concentration 3.0 ng/ml at 21 day after insemination was diagnosed to non-pregnancy. Calving intervals by surveying 100 cows were as follows 11~12 months (20%), 12~13 months (36%), 13~14 months (19%), 14 months $\geq$ (25%), respectively. In conclusion, hormone and ultrasonography help to detect reproductive disorders exactly and diagnose early pregnancy. This study suggest that diagnosis of early pregnancy and reproductive disorder by blood P$_4$concentration and ultrasonography improve reproduction management of HanWoo.

• Journal of radiological science and technology
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• v.33 no.3
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• pp.239-243
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• 2010

Even though clinical use DRE, PSA and TRUS for screening while diagnosing prostate cancer early, however, we cannot achieve to diagnose it accurately by one method. Thus, mutual supplements are strongly required in diagnosis. It means that we should identify relationship between prostate volume and serum PSA under different ages for better diagnosis. The subjects(405 men) visited the department of diagnostic radiology in a general university hospital from January 2008 to December 2008, who was going to take the prostatic evaluation by TRUS. 13 men, who did definite diagnosis of prostate cancer before through biopsy, were excluded in this study. All data were expressed as mean and standard deviations by using SPSS 14.0 package programs and were analyzed by using one-way ANOVA to evaluate the effect of different ages. And Scheffe Post hoc comparison is accomplished in order to make significant difference in prostate volume, PSA and PSAD according to ages. Pearson correlation was used for ages, prostate volume, PSA and PSAD. According to examination, the subjects' prostate volume and serum PSA level increase as person's age. We can see significant difference between group over 70 years and group from 40 and 50 years. Moreover, age, prostate volume and serum PSA have significant positive correlation. Even though we can get variations in serum PSA level by changing prostate volume according to ages, it is worthwhile to mention that more strong association for prostate volume is observed than ages in elevation of serum PSA. Therefore, it is strongly recommended to consider prostate volume weightly when it comes to evaluate for men with elevated PSA level. Finally, TRUS is an excellent extra equipment to diagnose prostate cancer because it can contribute to early diagnose and pertinent treatment of prostate cancer.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.10
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• pp.285-290
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• 2021

In the medical field, disease diagnosis and prediction research using artificial intelligence technology is being actively conducted. It is being released as a variety of products for disease diagnosis and prediction, which are most widely used in the application of artificial intelligence technology based on medical images. Artificial intelligence is being applied to diagnose diseases, to classify diseases into benign and malignant, and to separate disease regions for use in identification or reading according to the risk of disease. Recently, in connection with cloud technology, its utility as a service product is increasing. Among the diseases dealt with in this paper, liver disease is a disease with very high risk because it is difficult to diagnose early due to the lack of pain. Artificial intelligence technology was introduced based on medical images as a non-invasive diagnostic method for diagnosing these diseases. We describe the development of a web service to help the most meaningful clinical reading of liver cirrhosis patients. Then, it shows the web service process and shows the operation screen of each process and the final result screen. It is expected that the proposed service will be able to diagnose liver cirrhosis at an early stage and help patients recover through rapid treatment.

• Journal of Biomedical Engineering Research
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• v.42 no.4
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• pp.150-158
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• 2021

Intracranial hemorrhage (ICH) refers to acute bleeding inside the intracranial vault. Not only does this devastating disease record a very high mortality rate, but it can also cause serious chronic impairment of sensory, motor, and cognitive functions. Therefore, a prompt and professional diagnosis of the disease is highly critical. Noninvasive brain imaging data are essential for clinicians to efficiently diagnose the locus of brain lesion, volume of bleeding, and subsequent cortical damage, and to take clinical interventions. In particular, computed tomography (CT) images are used most often for the diagnosis of ICH. In order to diagnose ICH through CT images, not only medical specialists with a sufficient number of diagnosis experiences are required, but even when this condition is met, there are many cases where bleeding cannot be successfully detected due to factors such as low signal ratio and artifacts of the image itself. In addition, discrepancies between interpretations or even misinterpretations might exist causing critical clinical consequences. To resolve these clinical problems, we developed a diagnostic model predicting intracranial bleeding and its subtypes (intraparenchymal, intraventricular, subarachnoid, subdural, and epidural) by applying deep learning algorithms to CT images. We also constructed a visualization tool highlighting important regions in a CT image for predicting ICH. Specifically, 1) 27,758 CT brain images from RSNA were pre-processed to minimize the computational load. 2) Three different CNN-based models (ResNet, EfficientNet-B2, and EfficientNet-B7) were trained based on a training image data set. 3) Diagnosis performance of each of the three models was evaluated based on an independent test image data set: As a result of the model comparison, EfficientNet-B7's performance (classification accuracy = 91%) was a way greater than the other models. 4) Finally, based on the result of EfficientNet-B7, we visualized the lesions of internal bleeding using the Grad-CAM. Our research suggests that artificial intelligence-based diagnostic systems can help diagnose and treat brain diseases resolving various problems in clinical situations.

• 한국노년학
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• v.39 no.4
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• pp.895-902
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• 2019

This study reviewed the diagnosis accuracy and evaluation criteria of the fall risk assessment questionnaire that proved validity through factor analysis in previous studies. The purpose of this study was to diagnose high-risk groups and propose personal fall risk profiles for the Korean community-dwelling elderly. The participants of this study were 439 elderly people living in S, U, B, and Y cities Korea (mean age 75.0 ± 5.7 years). Receiver operating characteristic analysis was conducted to review the accuracy of the fall risk assessment and evaluation criteria of the FRA. The results showed that the four sub-factors of the FRA: 'Potential for fall', 'Disease and physical symptoms', 'Environment' and 'Physical function', can effectively diagnose the fall risk of the community-dwelling elderly. The evaluation criteria was presented based on the sensitivity and specificity results. In addition, as a result of analyzing the patterns by the sub factors of the fall risk, the high-risk group accounted for 80% of the elderly who had problems with two or more factors. Therefore, the four sub-factors of FRA can effectively diagnose the fall risk level, and could be present individual fall risk profiles based on the evaluation criteria.

• Proceedings of the KIEE Conference
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• 1999.07d
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• pp.1569-1571
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• 1999

In this work, we have performed the application experiment for real distribution line to diagnose the underground power cables using DC voltage decay measurement system. We have also performed the Isothermal Relaxation Current test for the same distribution line using KDA-l. We could confirmed possibility of grading the insulation aging state of underground power cables. Therefore, we conclude that it is possible to apply DC voltage decay method to the real distribution line.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.17 no.2
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• pp.85-92
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• 2014

Recently, the incidence and prevalence of obesity and dyslipidemia are increasing. Dyslipidemia is associated with significant comorbidities and complications, and with cardiovascular risk factors (obesity, diabetes mellitus, hypertension and smoking). The main objectives of this article are that describe the prevalence of dyslipidemia in Korean children and adolescents and review the diagnosis and management of dyslipidemia in children and adolescents.

• Journal of Chest Surgery
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• v.46 no.6
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• pp.467-470
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• 2013

The rupture of a renal artery aneurysm is a rare disease that is difficult to diagnose. Although we usually consider the appropriate treatment to be open laparotomy with aortic aneurysm surgery or stenting with graft insertion through intravascular intervention, thus far, there is no general consensus on the treatment protocol for renal artery aneurysm. Notably, ruptured renal artery aneurysm is a true critical emergency that may result in a fatal outcome. We are reporting two renal artery aneurysm patients who had ruptured and underwent emergency laparotomy.

• Annals of Clinical Neurophysiology
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• v.14 no.1
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• pp.7-11
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• 2012

Polysomnography is used to diagnose many types of sleep disorders including sleep apnea, periodic limb movement disorder, REM sleep behavior disorder, parasomnias, and narcolepsy. It is a comprehensive recording of the biophysiological changes that occur during sleep. The polysomnography monitors many body functions parameters including EEG, EOG, EMG, ECG, respiratory airflow, respiratory effort, and pulse oximetry during sleep. Multiple Sleep Latency Test (MSLT) is performed for diagnosing narcolepsy and excessive daytime sleepiness. It is usually to be done after an overnight polysomnography. The test consists of four or five 20-minute nap opportunities that are scheduled two hours apart.