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90 results for “Heart Disease”
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Research ArticleOpen accessPhrase in the titleExpression of the CD44 Protein in the Heart Valves Affected with Rheumatic Heart DiseaseR. Vijayalakshmi, S. Nayar, K.M. CherianProblem statement: The primary aim was to study the expression of CD44 protein in the heart valves removed surgically for either stenosis or regurgitation and to study the morphology of valves using histochemical staining. Approach: We studied 107 valves which were collected from the International Centre for Cardio Thoracic and Vascular Diseases. Results: Aortic and mitral valves were obtained from … …American Journal of Infectious Diseases, Vol. 6, Issue 4 · 31 Dec 2010 · 7,412 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleTotal Level of Serum Homocysteine in Males and Females with Coronary Heart Disease of Different Age GroupsFaisal I. Mohammad, Sally Awawdeh, Akram Saleh, Nabil A. BashirProblem statement: Elevated plasma total homocysteine concentration is a risk factor of cardiovascular disease. Total homocysteine level is a strong predictor of mortality in-patient with an angiographically confirmed Coronary Heart Disease (CHD), so we want to know at what age in males and females elevated homocysteine will be significantly elevated and this will help for better management and prognosis by … …American Journal of Biochemistry and Biotechnology, Vol. 6, Issue 2 · 30 Jun 2010 · 7,542 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleCoronary Heart Disease (CHD) Risk Factors and Metabolic Syndrome in HIV-Positive Drug Users in MiamiMarianna K Baum, Carlin Rafie, Shenghan Lai et al.The frequency of coronary heart disease (CHD) is increasing among HIV seropositive persons. This phenomenon may be related to HIV disease itself, the use of antiretroviral medications and increased length of survival, or the synergism of these factors. In this study we have calculated the 10-year CHD risk estimate and the prevalence of metabolic syndrome in a cohort of 118 … …American Journal of Infectious Diseases, Vol. 2, Issue 3 · 30 Sep 2006 · 6,993 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleIoT-Based Technology Solution for Monitoring Small Breed Cardiac Dogs with Heart DiseaseJeremias Evangelista, Carlos Izarra, José Luis Castillo-Sequera, Lenis WongCaring for geriatric small-breed dogs with heart disease from home is a challenge due to the lack of technological tools available in the market, specifically in South America. This lack limits the quality of life of these canine companions and hinders early detection of cardiac problems. Heart disease is common in geriatric dogs of small and medium breeds and the … …Journal of Computer Science, Vol. 20, Issue 10 · 22 Jul 2024 · 5,469 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleStudy and Analysis of Prediction Model for Heart Disease Data Using Machine Learning TechniquesB. Santhi, K. RenukaHeart disease is the number one cause of death for all communities of individuals in advanced countries and a major problem for emerging nations too. Doctors’ availability to care for the general population could not catch up with the present demand for healthcare. So, there is a severe need for a support system to assist save individuals. With novel ML … …Journal of Computer Science, Vol. 16, Issue 3 · 26 Mar 2020 · 7,794 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDietary Fats and Heart Disease: From Prenatal to Postnatal EnvironmentSukhinder K. CheemaProblem statement: Heart disease is the leading cause of death worldwide and is dramatically increasing in developing countries. Preventive approaches, such as dietary and lifestyle changes can have major health implications to prevent the onset of heart disease. Besides healthy nutrition in the adult life, maternal nutrition during pregnancy and lactation can also have a significant impact on the outcome … …Current Research in Medicine, Vol. 3, Issue 2 · 10 Aug 2012 · 7,437 accessesView PDFCite
Research ArticleOpen accessPhrase in the titlePlatelet Derived Growth Factor-A mRNA Levels in Diabetic and Nondiabetic Subjects at Risk of Coronary Heart DiseaseSalman A.H. AlrokayanCoronary heart disease (CHD) is the number one cause of death in developed countries. We investigated the quantity of platelet derived growth factor-A mRNA (PDGF-A mRNA) among four different groups of diabetic and nondiabetic Saudi subjects (n = 40) at risk of CHD. Total RNA was derived from peripheral blood mononuclear cells (PBMN) and PDGF-A mRNA reverse transcribed into cDNA … …American Journal of Biochemistry and Biotechnology, Vol. 3, Issue 3 · 30 Sep 2007 · 6,683 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleClassification of Heart Disease Using Cluster Based DT LearningSenthilkumar Mohan, Chandrsegar Thirumalai, Abdalah RababahIn the rural side, due to the absence of cardiovascular ailment centers, around 12 million people passing away worldwide reported by WHO. The principal purpose of coronary illness is a propensity of smoking. Our Cluster based disease Diagnosis (CDD) applies the ML classifiers to improve the prediction accuracy of cardiovascular diseases. For this we have taken a real Cleveland dataset … …Journal of Computer Science, Vol. 16, Issue 1 · 10 Jan 2020 · 7,367 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Intelligent System for Cardiovascular Disease Prediction Using Deep LearningDeepika Arora, Deepak Dudeja, B K AgrawalHeart disease remains among the major causes of death in the world. Hence, accurate and reliable prediction schemes are key. To detect the presence of diseases in early stages, data mining and deep learning algorithms offer powerful tools to determine important trends in large and complex data. To enhance the prediction of cardiac diseases, this paper proposes a hybrid deep … …Journal of Computer Science, Vol. 22, Issue 2 · 9 Mar 2026 · 1,613 accessesView PDFCite
Research ArticleOpen accessIn the keywordsGradient Boosting for Heart Stroke Prediction: Investigating Unexpected Risk FactorsAniket Kailas Shahade, Priyanka V. DeshmukhHeart stroke prediction is a critical area in healthcare, aiming to identify individuals at risk and provide timely intervention. This research leverages machine learning algorithms, including Decision Tree, Random Forest, AdaBoost, and Gradient Boost, to predict the likelihood of stroke, with Gradient Boosting delivering the most accurate results. Our analysis uncovers intriguing and unexpected relationships between stroke risk and various … …Journal of Computer Science, Vol. 21, Issue 1 · 16 Dec 2024 · 4,943 accessesView PDFCite