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228 results for “Heart”
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Research ArticleOpen accessEvery word 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 · 7,363 accessesView PDFCite
EditorialOpen accessEvery word in the titleVaccination Against Heart Attack?Joachim Storsberg, Mark A. Brown, Christian SchmidtA detailed look into the published record reveals that some of the arguments were derived from generalizations of observed results across different studies. The lynchpin of such attempts lies in an understanding of underlying phenomena in order to provide a reasoned justification for such sweeping generalities. Here, we highlight selected areas where the published record does not speak with one … …American Journal of Immunology, Vol. 12, Issue 3 · 22 Aug 2016 · 6,688 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImpact of L-Carnitine and Cinnamon on Insulin-Like Growth Factor-1 and Inducible Nitric Oxide Synthase Gene Expression in Heart and Brain of Insulin Resistant RatsMona A. MohamedProblem statement: Evaluate the effects of daily administration of L-carnitine and cinnamon extract for two weeks on the expression of Insulin-like Growth Factor-1 (IGF-1) and inducible Nitric Oxide Synthase (iNOS) genes in cardiac and brain tissues of rats with Insulin Resistance (IR). Approach: Rats were divided into 4 groups (8 animals each): Group (1) rats fed control diet (60% starch) … …American Journal of Biochemistry and Biotechnology, Vol. 6, Issue 3 · 30 Sep 2010 · 8,740 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 · 1,607 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMMP-9 is a Potential Prognostic Marker of Left Ventricular Remodeling in Patients with Coronary Artery DiseaseMikhail Aleksandrovich Popov, Anastasia Vladimirovna Poznyak, Dmitry Valerievich Shumakov et al.Matrix Metalloproteinase-9 (MMP-9) emerges as a promising prognostic marker for assessing left ventricular remodeling in patients with coronary artery disease, particularly in the context of Ischemic Heart Disease (IHD) complicated by left ventricular aneurysm. In this study, we conducted two parallel investigations to explore the prognostic significance of MMP-9 in patients with multivessel coronary artery disease undergoing left ventricular reconstruction … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 11 Jul 2024 · 4,310 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUsing Morphometric Traits to Estimate Live Body Weight of South African Bapedi SheepThabang Sako, Jones Ng’ambi, Thomas Raphulu et al.This study was carried out for the estimation of Body Weight (BW) of bapedi sheep from Body Length (BL), Sterna Height (SH), Heart Girth (HG), Height at Withers (WH), Rump Height (RH) and Head Length (HL). Correlation and regression were used. Correlation displayed that body weight is highly positively associated (p<0.01) with WH and HG in males while for females, … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 3 · 26 Jun 2024 · 5,651 accessesView PDFCite
Research ArticleOpen accessIn the keywordsGrowth Traits as Indicators of Body Weights in Dorper SheepMolabe Kagisho Madikadike, Vusi Mbazima, Busisiwe Gunya, Thobela Louis TyasiThe growth traits help rural farmers who lack weighing equipment to anticipate the body weights of their animals for a variety of reasons, including feeding, medication, and breeding purposes. The study aims to predict body weights from the growth traits of Doper sheep. Data on growth traits such as body length, heart girth, sternum height, withers height, rump height, and … …American Journal of Animal and Veterinary Sciences, Vol. 17, Issue 4 · 26 Dec 2022 · 6,287 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPrediction of Body Weight from Linear Body Measurement Traits of Boer Goats Raised at Farm Tivolie, Limpopo Province, South AfricaLebo Trudy Rashijane, Vusi G Mbazima, Thobela Louis TyasiA total of 72 Boer goats (females = 58 and males = 14) from the age of one to five years were used to determine the association between Body Weight (BW) and linear body measurement traits viz. Body Length (BL), Heart Girth (HG), Rump Height (RH), Rump Width (RW), Ear Length (EL), Cannon Circumference (CC) and Heard Width (HW) and … …American Journal of Animal and Veterinary Sciences, Vol. 16, Issue 4 · 20 Nov 2021 · 6,872 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPrediction of Body Weight of Yearling Boer Goats from Morphometric Traits using Classification and Regression TreeMadumetja Cyril Mathapo, Thobela Louis TyasiClassification and Regression Tree (CART) is a predictive algorithm method used to explains how the dependent variable can be predicted using independent variables (numerical and characters). The study was conducted to investigate the relationship between body weight and morphometric traits (Body Length (BL), Heart Girth (HG), Rump Height (RH), Rump Width (RW), Ear Length (EL), Cannon Circumference (CC) and Head … …American Journal of Animal and Veterinary Sciences, Vol. 16, Issue 2 · 3 May 2021 · 8,439 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPhonocardiogram Classification Based on Machine Learning with Multiple Sound FeaturesKhalid M.O. Nahar, Obaida M. Al-Hazaimeh, Ashraf Abu-Ein, Nasr GharaibehIn this study the heartbeat sound signals were tackled by classifying them into heart disease categories such as normal, artifact, murmur and extrahals in an attempt for early detection of heart defects. Phonocardiogram (i.e., PCG) is used to obtain the digital recording dataset of the heart sounds using an electronic stethoscope or mobile device. Multiple features are extracted from the … …Journal of Computer Science, Vol. 16, Issue 11 · 26 Nov 2020 · 8,259 accessesView PDFCite