• 사상체질의학회지
• /
• 제19권3호
• /
• pp.293-299
• /
• 2007

1. Objectives The main ingredient of ephedra is ephedrine which affects on autonomic nervous system induce some adverse effects just like vasoconstriction, hypertension, tachycardia, miosis, insomnia, dizziness, headache, and etc. and heart disease. If we use Mahuang according to the Sasang constitution classification in clinic, we could not only may minimize the anxiety but maximize the potential curative value in Asthma Treatment. 2. Methods On a day three times in Mahangjungchentang taken patients who with Ventricular septal defect in the aftermath of the RBBB. We are observed that the main symptoms of change, vital sign, sleep, stool, urine, heart disease. 3. Results Teaumin with asthma, the effect of Mahuang, and the side effects are fewer. The individual effects of herbs are important. but Sasang constitutional effects are important too. 4 Conclusions Mahuang can increase heart disease. But there was a difference among Sasang constitution classification. This has no side effects from Teaumin than other constitutions. If we use Mahuang according to the Sasang constitution classification in clinic. We have an excellent effect on the treatment of asthma.

• Journal of Chest Surgery
• /
• 제28권9호
• /
• pp.822-828
• /
• 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.

• 한국임상수의학회:학술대회논문집
• /
• 한국임상수의학회 2009년도 춘계학술대회
• /
• pp.127-133
• /
• 2009

Cardiomyopathies were previously defined as "an idiopathic myocardial disease that is not secondary to any other type of congenital/acquired heart disease or systemic diseases." With increasing understanding of etiology and pathogenesis in human medicine, the difference between cardiomyopathy and specific heart muscle disease has become indistinct. Cardiomyopathies are now classified by the dominant pathophysiology or, if possible, by etiological/pathogenetic factors. The American Heart Association recently advocated the following new definition of cardiomyopathy: Cardiomyopathies are a heterogeneous group of diseases of the myocardium associated with mechanical and/or electrical dysfunction that usually (but not invariably) exhibit inappropriate ventricular hypertrophy or dilatation and are due to a variety of causes that frequently are genetic. Cardiomyopathies either are confined to the heart or are part of generalized systemic disorders, often leading to cardiovascular death or progressive heart failure-related disability. Because the understanding of etiology or pathogenesis of cardiomyopathy has been limited in veterinary medicine, the previous classification is generally used. It is considered a dilated, hypertrophic and restrictive group on the basis of the predominant morphological and functional abnormalities. In addition, arrhythmogenic right ventricular cardiomyopathy and unclassified cardiomyopathy were also recognized in dogs and/or cats.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제17권2호
• /
• pp.504-519
• /
• 2023

Heart disease is becoming the top reason of death all around the world. Diagnosing cardiac illness is a difficult endeavor that necessitates both expertise and extensive knowledge. Machine learning (ML) is becoming gradually more important in the medical field. Most of the works have concentrated on the prediction of cardiac disease, however the precision of the results is minimal, and data integrity is uncertain. To solve these difficulties, this research creates an Integrated Accurate-Secure Heart Disease Prediction (IAS) Model based on Deep Convolutional Neural Networks. Heart-related medical data is collected and pre-processed. Secondly, feature extraction is processed with two factors, from signals and acquired data, which are further trained for classification. The Deep Convolutional Neural Networks (DCNN) is used to categorize received sensor data as normal or abnormal. Furthermore, the results are safeguarded by implementing an integrity validation mechanism based on the hash algorithm. The system's performance is evaluated by comparing the proposed to existing models. The results explain that the proposed model-based cardiac disease diagnosis model surpasses previous techniques. The proposed method demonstrates that it attains accuracy of 98.5 % for the maximum amount of records, which is higher than available classifiers.

• Tuberculosis and Respiratory Diseases
• /
• 제75권4호
• /
• pp.161-164
• /
• 2013

Eosinophilic pleural effusion (EPE) is defined as a pleural effusion that contains at least 10% eosinophils. EPE occurs due to a variety of causes such as blood or air in the pleural space, infection, malignancy, or an autoimmune disease. Undifferentiated connective tissue disease (UCTD) associated with eosinophilic pleural effusion is a rare condition generally characterized by the presence of the signs and symptoms but not fulfilling the existing classification criteria. We report a case involving a 67-year-old man with UCTD and EPE, who has been successfully treated with a single intrapleural corticosteroid injection.

• Journal of information and communication convergence engineering
• /
• 제20권1호
• /
• pp.31-40
• /
• 2022

Coronary heart disease (CHD) is a comorbidity of COVID-19; therefore, routine early diagnosis is crucial. A large number of examination attributes in the context of diagnosing CHD is a distinct obstacle during the pandemic when the number of health service users is significant. The development of a precise machine learning model for diagnosis with a minimum number of examination attributes can allow examinations and healthcare actions to be undertaken quickly. This study proposes a CHD diagnosis model based on feature selection, data balancing, and ensemble-based classification methods. In the feature selection stage, a hybrid SVM-GA combined with fast correlation-based filter (FCBF) is used. The proposed system achieved an accuracy of 94.60% and area under the curve (AUC) of 97.5% when tested on the z-Alizadeh Sani dataset and used only 8 of 54 inspection attributes. In terms of performance, the proposed model can be placed in the very good category.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
• /
• pp.868-871
• /
• 2006

Mortality of domestic people from cardiovascular disease ranked second, which followed that of from cancer last year. Therefore, it is very important and urgent to enhance the reliability of medical examination and treatment for cardiovascular disease. Heart Rate Variability (HRV) is the most commonly used noninvasive methods to evaluate autonomic regulation of heart rate and conditions of a human heart. In this paper, our aim is to extract a quantitative measure for HRV to enhance the reliability of medical examination for cardiovascular disease, and then develop a prediction method for extracting multi-parametric features by analyzing HRV from ECG. In this study, we propose a hybrid Bayesian classifier called FP-based Bayesian. The proposed classifier use frequent patterns for building Bayesian model. Since the volume of patterns produced can be large, we offer a rule cohesion measure that allows a strong push of pruning patterns in the pattern-generating process. We conduct an experiment for the FP-based Bayesian classifier, which utilizes multiple rules and pruning, and biased confidence (or cohesion measure) and dataset consisting of 670 participants distributed into two groups, namely normal and patients with coronary artery disease.

• 전기학회논문지
• /
• 제57권6호
• /
• pp.1058-1062
• /
• 2008

In clinical decision support system(CDSS), unlike rule-based expert method, appropriate data-driven machine learning method can easily provide the information of individual feature(clinical test) for disease classification. However, currently developed methods focus on the improvement of the classification accuracy for diagnosis. With the analysis of feature importance in classification, one may infer the novel clinical test sets which highly differentiate the specific diseases or disease states. In this background, we introduce a novel CDSS that integrate a classifier and feature selection module together. Random forest algorithm is applied for the classifier and the feature importance measure. The system selects the significant clinical tests discriminating the diseases by examining the classification error during backward elimination of the features. The superior performance of random forest algorithm in clinical classification was assessed against artificial neural network and decision tree algorithm by using breast cancer, diabetes and heart disease data in UCI Machine Learning Repository. The test with the same data sets shows that the proposed system can successfully select the significant clinical test set for each disease.

• 정보처리학회논문지D
• /
• 제16D권1호
• /
• pp.11-26
• /
• 2009

심혈관계 질환의 진단 위해서 복합 진단 지표를 이용한 출현 패턴 기반의 분류 기법을 제안하였다. 복합 진단 지표 적용을 위해서 심박동변이도의 선형/비선형적 특징들을 세 가지 누운 자세에 대해 분석하였고 ST-segments로부터 4개의 진단 지표를 추출하였다. 이 논문에서는 질환진단을 위해서 필수 출현 패턴을 이용한 분류 모델을 제안하였다. 이 분류 기법은 환자 그룹의 질환 패턴들을 발견하며, 이러한 출현 패턴은 심혈관계 질환 환자들에서는 빈발하지만 정상인 그룹에서는 빈발하지 않는 패턴들이다. 제안된 분류 알고리즘의 평가를 위해서 120명의 협심증(AP: angina pectrois) 환자, 13명의 급성관상동맥증후군(ACS: acute coronary syndrome) 환자 그리고 128명의 정상인 데이터를 사용하였다. 실험 결과 복합 지표를 사용하였을 때, 세 그룹의 분류에 대한 정확도는 약 88.3%였다.

• 대한상한금궤의학회지
• /
• 제13권1호
• /
• pp.1-19
• /
• 2021

Purpose : Sayeok-tang (Sini decoction, SND) is a cold-dispelling formula used for cold deficiency syndrome and is composed of Aconiti Lateralis Radix Preperata, Zingiberis Rhizoma, and Glycyrrhizae Radix et Rhizoma. It is used for diseases such as myocardial infarction, heart failure, acute and chronic gastroenteritis, and gastric effusion. This study proposes the possibility of expansion of basic research and clinical applications for ischemic heart disease (IHD) through systematic analysis of domestic and foreign studies on SND. Methods : We collected studies within the last 10 years on the use of SND in IHD and excluded those lacking relevance. Selected studies were classified by research method and the main themes of the studies were analyzed for each classification. Result: Out of 15 studies, there were 5 animal studies, 8 metabolite analyses in animals, 1 in vitro study, and 1 systematic review. Our review suggests that SND may be used as an adjuvant to nitroglycerin and percutaneous transluminal coronary angioplasty, and may improve symptoms and quality of life of patients with IHD. Myocardial protective effects through antioxidant, anti-inflammatory, anti-apoptotic, and anti-hypertensive actions were confirmed through these studies. Effects on carbohydrate, protein, and lipid metabolism were also reported. Conclusions : This study suggests that SND has potential as a treatment for IHD.