• Proceedings of the Safety Management and Science Conference
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• 2006.04a
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• pp.51-56
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• 2006

Recently data mining techniques have been used for analysis and classification of data related to industrial accidents. The main objective of this study is to compare performance of algorithms for data analysis of industrial accidents and this paper provides a comparative analysis of 5 kinds of algorithms including CHAID, CART, C4.5, LR (Logistic Regression) and NN (Neural Network) with ROC chart, lift chart and response threshold. In this study, data on 67,278 accidents were analyzed to create risk groups for a number of complications, including the risk of disease and accident. The sample for this work chosen from data related to manufacturing industries during three years $(2002\sim2004)$ in korea. According to the result analysis, NN has excellent performance for data analysis and classification of industrial accidents.

• Proceedings of the KOSOMBE Conference
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• v.1995 no.11
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• pp.177-182
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• 1995

Since one property(i.e. coarseness, orientation, regularity, granularity etc.) of ultrasound liver images was not sufficiently enough to classify the characteristics of livers, we used the multi-feature vectors from ultrasound images to diagnose the liver disease. The proposed classifier, which uses the multi-feature vectors and Bayes decision rule, performed well for the classification of normal, fat and cirrhosis liver. In our simulation, we used the Battacharyya distance and Hotelling Trace Criterion to select the best multi-feature vectors for the classifier and obtained less classification errors than other methods using single feature vector.

• Korean Journal of Biological Psychiatry
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• v.5 no.1
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• pp.17-33
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• 1998

Advances in molecular biology contribute to the understanding genetic mechanism of psychiatric disorders. They have renewed hope for the discovery of disease relevant gene. However, the results somewhat confused. And we will wait for a long time for the application of gene therapy in schizophreniar. Fortunately we could classified the schizophrenia with genotypes of dopamine and serotonin receptors. It is expected that this genetic classification could provide key strategy for the therapeutic application in biological treatment for schizophrenia. The purpose of this article is to call attention of the institute participants to linkage, association, mRNA expression, genotypic classification and to the need for more systemic research. The author summarized the modified methods which were done in his laboratory in appendix.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.28 no.1
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• pp.20-24
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• 2017

Laryngomalacia is the most common congenital anomaly that causes inspiratory stridor and airway obstruction in the newborn. Symptoms begin to appear after weeks of age, become worse at 4-8 months, improve between 8-12 months, and usually heal naturally at 12-18 months. Despite these common natural processes, the symptoms of the disease can be very diverse and, in severe cases, require surgical treatment. The diagnosis can be made by suspicion of clinical symptoms and direct observation of the larynx with the spontaneous breathing of the child. Typical laryngeal features include omega-shaped epiglottis, retroflexed epiglottis, short aryepiglottic fold, poor visualization of the vocal folds, and edema of the posterior glottis, including inspiratory supra-arytenoid tissue prolapse. In this review, we discuss the classification and treatment based on symptoms and laryngoscopic findings in patients with laryngomalacia.

• Journal of Sasang Constitutional Medicine
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• v.13 no.2
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• pp.144-155
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• 2001

By the increasing concern about Sasang Constitution Medicine, its practical use is considered very important in disease prevention and medical treatment. However, the method of constitution classification is depending on the doctor's clinical trials because of the lack of the objective test criteria. This study is trying to improve the objectiveness of diagnosis using a new statistical method, decision tree. Decision tree method-a classification technique in the statistical analysis- was used to analyze the result of QSCCII instead of using discriminant analysis. As a result, 16 among 121 QSCCII questions was selected as important questions and 21 terminal nodes was built to classify the constitution. Using only 16 questions shown in the result of decision tree, we can diagnose and interpret the constitution easily and effectively.

• Genomics & Informatics
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• v.18 no.4
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• pp.35.1-35.7
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• 2020

Identifying the patterns of gene expression in breast cancers is essential to understanding their pathophysiology and developing anticancer drugs. Breast cancer is a heterogeneous disease with different subtypes determined by distinct biological features. Luminal breast cancer is characterized by a relatively high expression of estrogen receptor (ER) and progesterone receptor (PR) genes, which are expressed in breast luminal cells. In ~25% of invasive breast cancers, human epidermal growth factor receptor 2 (HER2) is overexpressed; these cancers are categorized as the HER2 type. Triple-negative breast cancer (TNBC), in which the cancer cells do not express ER/PR or HER2, shows highly aggressive clinical outcomes. TNBC can be further classified into specific subtypes according to genomic mutations and cancer immunogenicity. Herein, we discuss the brief history of TNBC classification and its implications for promising treatments.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.28.5-28
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• 2001

This paper investigates a classification method of the electrocardiogram (ECG) into different disease categories. The features for the classification of the ECG are the coefficients of the discrete wavelet transform (DWT) of ECG signals. The coefficients are calculated with Haar wavelet, and after DWT we can get 64 coefficients. Each coefficient has morphological information and they may be good features when conventional time-domain features are not available. Since all of them are not meaningful, it is needed to reduce the size of meaningful coefficients set. The distributions of each coefficient can be the rules to classify ECG signal. The optimally reduced feature set is obtained by fuzzy c-means algorithm and rough set theory. First, the each coefficient is clustered by fuzzy c-means algorithm and the clustered ...

• Journal of Sasang Constitutional Medicine
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• v.14 no.3
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• pp.1-6
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• 2002

1.Objects of Research This research is purposed to find methods of treatment on serious diseases, through summarizing etiology, classification and treatment on serious diseases proposed in Sasang constitutional medicine 2.Methods of Research It was researched as bibliologically with Dong-mu's chief medical writings such as ${\ulcorner}$Dongyi Soose Bowon(東醫壽世保元)${\lrcorner}$, ${\ulcorner}$Dongyi Soose Bowon Sasang Chobongyun(東醫壽世保元四象草本卷)${\lrcorner}$ 3.Results and Conclusions 1. The principle of treatment in the previous medicine is to treat each disease by 'Assisting-Good Qi' and 'Removig-Bad Qi'. but The principle of treatment in Sasang Constitutional medicine is to manage incurable disease by helping 'Essential Qi of each constitution(體質正氣)' 2. Incurable disease is classified into a chronic disease by 'Nature(性氣)' and a acute disease by 'Emotion(情慾)'. Both diseases became serious through 'Noi-Ok(牢獄)' and 'Wi-Gyoung(危傾)'. A chronic disease is much in the middle years of life and become senile disease. A acute disease is much in the young years of life and make patients die young. 3. prognoses of incurable disease are different from degree of Inherent vitality(命脈實數) and term of disease. The case in which Inherent vitality is exhausted is thought that is unable to treat. 4. The prevention of incurable disease Is more important the treatment of one in Sasang Constitutional Medicine. but if incurable disease is caught, Medicine(醫藥) and management(調養) must be used together for treatment of incurable disease. Medicine is more important in the level of 'Noi-Ok(牢獄)' and management is more important in the level of 'Wi-Gyoung(危傾)'. 5. Therefore, incurable disease should be treated by method that 'Essential Qi of each constitution(體質正氣)' is recovered and declination is removed through 'controlling mind(治心) and correcting Qi(正氣), so then the state of 'Golden mean(中庸)'　is reached.

• Journal of Physiology & Pathology in Korean Medicine
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• v.27 no.3
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• pp.273-279
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• 2013

The objective of this study is to find out a reason why prescriptions have different effects on each patient who has same symptoms or same abdominal examinations and further more to classify the formulas more efficiently. In applying 's prescriptions, it is known that conventional ways such as treatment in accordance with symptoms or abdominal examinations have many advantages and problems reversely. To make up for the problems, additional references like strength of constitutional resistance and location of disease, degree of income and outgo are designed. And the notion in Oriental Medicine embracing aspects mentioned above corresponds to triple energizer. Triple energizer's exuberance-debilitation is able to draw an inference from some factors like density of skin interstices, elasticity of abdomen, appetite, digestive power. According to Exuberance-Debilitation of Triple Energizer, can be divided into five steps: weak(弱)-moderately weak(中弱)-neither weak nor strong(中)-moderately strong(中强)-strong(强). prescriptions would be dealt with those 5 steps, and it would be highly effective and consequently side effects could be reduced. On the basis of this classification method upon formula group, the prescriptions of can be applied more accurately by setting a direction through strength of constitutional resistance and location of disease and combining with existing references like symptoms, palpation and abdominal examinations.

• Journal of Chest Surgery
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• v.28 no.9
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• pp.822-828
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• 1995

This paper reports 15 native valve endocarditis cases had surgical operation in the past 10 years at the department of Cardiovascular and Thoracic Surgery, Chonbuk National University Hospital. In this study, 10 cases out of 15 were in class I or II by the New York Heart Association functional classification. None of the cases had a history of taking addictive drugs. Five cases were congenital heart disease, three cases were rheumatic heart disease and two cases were degenerative heart disease. Thus 10 cases had the underlying disease. All cases had antibiotics treatment for 3 to 6 weeks before operation. In the culture test, only four cases were positive in the blood culture and one case was positive in the excised valve culture. Organisms on blood and valve culture were Streptococcus epidermis, Streptococcus viridans, Staphylococcus aureus and Staphylococcus epidermidis. In the 10 cases without ventricular septal defect, the aortic valve was involved in four, mitral in four, both in two and involved valves in the 5 cases with ventricular septal defect were tricuspid in three, pulmonic in two. Eight cases had operation because they showed moderate congestive heart failure due to valvular insufficiency and vegetation with or without embolism. Seven cases had operation because they showed persistent or progressive congestive heart failure and/or uncontrolled infection. Five cases with ventricular septal defect underwent the closure of ventricular septal defect, vegetectomy and leaflet excision of the affected valves without valve replacement. In the cases without ventricular septal defect, the affected valves were replaced with St. Jude mechanical prosthesis. Postoperative complications were recurrent endocarditis in two, embolism in one, allergic vasculitis in two, spleen rupture in one and postpericardiotomy syndrome in one. At the first postoperative day, one case died of cerebral embolism. At the 11th postoperative month, one case died of recurrent endocarditis and paravalvular leakage in spite of a couple of aortic valve replacement. In the survived cases[13 cases in this study , all cases but one became class I or II by the New York Heart Association functional classification.