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Relevant bibliographies by topics / Cardiovascular disease Confusion Matrix

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Academic literature on the topic 'Cardiovascular disease Confusion Matrix'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Cardiovascular disease Confusion Matrix"

1

esh, Ram, Rathidevi R, and Priya nandhini. "Prediction of Cardiovascular Disease using NaïveBayes with Confusion Matrix." International Journal of Computer Science and Engineering 10, no. 12 (2023): 5–9. http://dx.doi.org/10.14445/23488387/ijcse-v10i12p102.

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Shiva, Shrivastava*1 &. Neeraj Mehta2. "DIAGNOSIS OF HEART DISEASE USING GENETICALLY OPTIMIZED NEURAL NETWORK." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 7 (2017): 142–49. https://doi.org/10.5281/zenodo.823060.

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Cardiovascular diseases are a major public health problem and are expected to continue to be in the future due mainly to population aging; In Spain, represent the leading cause of death and hospitalization. The three most important cardiovascular problems, ischemic heart disease, cerebrovascular disease and heart failure are based on the large epidemiological studies.This paper proposes Genetically optimized Neural Network technique for heart disease prediction. Performance of proposed approach is evaluated using confusion matrix plot.

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Kandwal, Kuldeep. "AI-Based Prediction of Cardiovascular Disease." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem46154.

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Abstract: Cardiovascular diseases (CVD) are still one of the leading causes of death in the world today which shows that early diagnosis and preventive measures are vital for improving the outcomes post death. The purpose of this project is to determine the potential risk of a patient suffering from cardiovascular disease through the application of artificial intelligence (AI), deep learning (DL) and machine learning (ML). The health parameters include age, gender, blood pressure, cholesterol levels, heart rate, exercise tolerance and the dataset also has a target variable characteristic respo

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Noori Mohammad Ali, Sara, and Nawzad Muhammed Ahmed. "Comparing some Machine Learning Models for Cardiovascular Disease." Journal of Pioneering Medical Sciences 14, no. 04 (2025): 60–66. https://doi.org/10.47310/jpms2025140408.

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Background and Aim: Cardiovascular disease remains a leading cause of morbidity and mortality worldwide, necessitating the development of accurate predictive models for early diagnosis. Therefore, this study aimed to evaluate and compare the performance of three machine learning models-Random Forest, Decision Tree, and K-Nearest Neighbors-in predicting cardiovascular disease based on key risk factors. Method: This retrospective study utilized patient data from Shar Hospital in Sulaimaniyah City. The dataset included demographic and clinical risk factors such as age, smoking status, diabetes, h

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Tsehay, Admassu Assegie, Kumar Napa Komal, Thulasi Thiyagu, Kalyan Kumar Angati, Jeyanthiran Thiruvarasu Vasantha Priya Maran, and Dhamodaran Vigneswari. "Scalability and performance of decision tree for cardiovascular disease prediction." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 3 (2024): 2540–45. https://doi.org/10.11591/ijai.v13.i3.pp2540-2545.

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As one of the most common types of disease, cardiovascular disease is a serious health concern worldwide. Early detection is crucial for successful treatment and improved survival rates. The decision tree is a robust classifier for predicting the risk of cardiovascular disease and getting insights that would assist in making clinical decisions. However, selecting a better model for cardiovascular disease could be challenging due to scalability issues. Hence, this study examines the scalability and performance of decision trees for cardiovascular disease prediction. The study evaluated the perf

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Admassu Assegie, Tsehay, Komal Kumar Napa, Thiyagu Thulasi, Angati Kalyan Kumar, Maran Jeyanthiran Thiruvarasu Vasantha Priya, and Vigneswari Dhamodaran. "Scalability and performance of decision tree for cardiovascular disease prediction." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 3 (2024): 2540. http://dx.doi.org/10.11591/ijai.v13.i3.pp2540-2545.

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<span lang="EN-US">As one of the most common types of disease, cardiovascular disease is a serious health concern worldwide. Early detection is crucial for successful treatment and improved survival rates. The decision tree is a robust classifier for predicting the risk of cardiovascular disease and getting insights that would assist in making clinical decisions. However, selecting a better model for cardiovascular disease could be challenging due to scalability issues. Hence, this study examines the scalability and performance of decision trees for cardiovascular disease prediction. The

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El Massari, Hakim, Noreddine Gherabi, Sajida Mhammedi, Hamza Ghandi, Mohamed Bahaj, and Muhammad Raza Naqvi. "The Impact of Ontology on the Prediction of Cardiovascular Disease Compared to Machine Learning Algorithms." International Journal of Online and Biomedical Engineering (iJOE) 18, no. 11 (2022): 143–57. http://dx.doi.org/10.3991/ijoe.v18i11.32647.

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Cardiovascular disease is one of the chronic diseases that is on the rise. The complications occur when cardiovascular disease is not discovered early and correctly diagnosed at the right time. Various machine learning approaches, including ontology-based Machine Learning techniques, have lately played an essential role in medical science by building an automated system that can identify heart illness. This paper compares and reviews the most prominent machine learning algorithms, as well as ontology-based Machine Learning classification. Random Forest, Logistic regression, Decision Tree, Naiv

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Liu, Hongji, Yadong Tian, and Donghong Yu. "Prediction of cardiovascular and cerebrovascular diseases based on machine learning models." Applied and Computational Engineering 46, no. 1 (2024): 35–44. http://dx.doi.org/10.54254/2755-2721/46/20241068.

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Recently we had the fact that cardiovascular disease has become one of the major threats to human life, which leads to the significance of the research around the prevention and cure of such disease. Recently, machine learning algorithms are utilized for the prediction of a certain person who has an illness or not. To verify the effectiveness of predicting cardiovascular disease using machine learning methods, we predict cardiovascular disease given features of a persons life habits and illness history from the Behavioral Risk Factor Surveillance System. Therefore, 5 models are selected, inclu

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Li, Steven Kalung, and Yuli Peng. "Cardiovascular Diseases Risk Prediction Based on Machine Learning Models." Highlights in Science, Engineering and Technology 81 (January 26, 2024): 473–77. http://dx.doi.org/10.54097/wdsr1890.

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Cardiovascular Diseases (CVD) are the leading cause of death worldwide, CVD has a high death rate of 95% as it causes a blockage in blood vessels, which prevents blood from flowing to the brain or heart. Necessitating accurate risk prediction for effective prevention and management becomes a necessity of lowering death caused by cardiovascular disease. This paper presents a comprehensive study utilizing Logistic Regression and Decision Tree models implemented via Python to predict CVD risk. The models were trained on a dataset comprising numerous variables such as age, checkup, sex, and BMI wh

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Jing, Shuyue. "Comparison of dimensionality reduction methods and evaluation of prediction effect based on cardiovascular disease data." Theoretical and Natural Science 27, no. 1 (2023): 190–201. http://dx.doi.org/10.54254/2753-8818/27/20240731.

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Cardiovascular diseases have become the leading cause of death in the world, and the mortality rate caused by them is still on the rise, which is a major challenge facing the world. In the study of cardiovascular diseases, there are many kinds and quantities of factors leading to the disease, so how to screen more effective factors for research and accurate prediction is an important problem. The aim of this study is to conduct an in-depth comparative analysis of multiple dimensionality reduction methods for cardiovascular disease data. This paper evaluates the results produced by various dime

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Dissertations / Theses on the topic "Cardiovascular disease Confusion Matrix"

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Schwanekamp, Jennifer A. "Dissecting the Roles of Periostin and TGFBI in Cardiovascular Disease." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504803264229101.

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Tayebjee, Muzahir H. "The assessment of circulating matrix metalloproteinases and their inhibitors in health and cardiovascular disease." Thesis, University of Aberdeen, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.425041.

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The thesis objective was to define the variance of circulating MMP-9, TIMP-1 & -2 in healthy controls (HC), and study these in hypertension, diabetes, stable coronary (CAD) and peripheral arterial disease (PAD), in particular the effect of the treatment; the link to coronary collateralisation, inflammation and diastolic dysfunction. In HC, I found no gender differences or diurnal variation in MMP/TIMPs except MMP-9 being lower in the Far Eastern cohort. TIMP-1 & -2 declined with aging and rose with acute exercise. Patients with hypertension had higher MMP-9 and TIMP-1 compared to HC; MMP-9 c

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Davis, Danisha Marie, Suman Dalal, Connor James, Cerrone R. Foster, and Krishna Singh. "The Role of Osteopontin in Extracellular Matrix Remodeling Following Chronic Sympathetic Stimulation in The Aging Heart." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/asrf/2019/schedule/122.

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Cardiovascular disease (CVD) is the leading cause of death in the United States. A common feature in most cardiac pathologies is the dysregulation of beta-adrenergic receptors (β-AR) and changes in the extracellular matrix (ECM). The ECM maintains strength and normal organization of cardiac tissue, while fibrosis (connective tissue scarring) is necessary for repair of damaged cardiac tissue. However, the dysregulation of the ECM leads to a number of cardiac disease pathologies. Osteopontin (OPN) is a protein with diverse biological functions in regulating the ECM such as bone resorption and ca

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Ostojic, Aleksandra. "Use of a Collagen I Matrix to Enhance the Potential of Circulating Angiogenic Cells (CACs) for Therapy." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/31931.

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Acute myocardial infarction (MI) is the end result of many cardiovascular diseases and is one of the leading causes of death in the western world. Cell therapy, using circulating angiogenic cells (CACs) or CD34+ cells from peripheral blood, is one approach under investigation for restoring blood flow and function to the ischemic heart. However, the numbers of CACs and CD34+ circulating cells are inversely proportional to the severity of cardiovascular disease and age; therefore, there is a need to increase their numbers and/or function for therapy. One possibility is to enhance the therapeutic

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Kormi, I. (Immi). "Translational perspectives on matrix metalloproteinase 8 and other inflammatory biomarkers in cardiovascular diseases." Doctoral thesis, Oulun yliopisto, 2017. http://urn.fi/urn:isbn:9789526215297.

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Abstract Cardiovascular diseases (CVD), and especially atherosclerotic vascular diseases (ASVD), are the largest cause of morbidity and premature death worldwide. Coronary heart disease (CHD) and cerebrovascular disease (stroke) are common and severe manifestations of ASVD. Atherosclerosis is a chronic inflammatory disease and lipoprotein metabolism disorder. If the regulation of inflammatory process is disturbed, the systemic release of pro-inflammatory mediators, including matrix metalloproteinases (MMPs), may lead to a low-grade systemic inflammation, which is a risk factor for CVDs. MMPs a

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Lamlum, Hanan. "Variation in human tissue inhibitor of metalloproteinase 1 gene and its effect on the control of connective tissue remodelling in cardiovascular disease." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365809.

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Zhang, Huajun. "Functional characterisation of cardiac progenitors from patients with ischaemic heart disease." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:3b8a7199-c077-436c-bb89-cd354efe4414.

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Ischaemic heart disease (IHD) is the leading cause of death worldwide. Currently, even optimal medical therapies do not attenuate deterioration of the left ventricular (LV) function completely. Stem cell therapies, and recently cardiac stem cell therapies, have emerged as potential novel treatments for IHD. However, clinical evidence from randomised controlled studies has shown mixed results. Thus understanding what patient-related factors may affect the therapeutic performance of the cells may help improving treatment outcomes. The studies described in this thesis aim to understand how cardia

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Tan, J. J. "Cardiosphere-derived stem cell culture, characterisation and labelling for in vivo testing in the infarcted heart." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:d902b4f4-6e32-45dd-9767-8e0a17967393.

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Cardiac stem cells (CSCs), isolated from heart tissue explants and expanded via the formation of cardiospheres (Csp), are a promising candidate for cell therapy to prevent heart failure following myocardial infarction. To allow early administration to patients, isolation and expansion of CSCs must be performed in the shortest time possible. Hence, this project aimed to optimize culture conditions and characterize the cardiac explant-derived cells (EDCs), Csp and Csp-derived cells (CDCs) produced. Rat neonatal EDCs contained 4-7% c-kit<sup>+</sup> cells, measured using flow cytometry. Optimal C

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Gomes, Valeria Aguiar 1982. "Efeito do anticoncepcional oral sobre as alterações de metaloproteinases da matriz extracelular em pacientes com síndrome do ovário policístico : Effect of oral contraceptives on changes of extracellular matrix metalloproteinases in patients with polycystic ovary syndrome." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/310020.

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Orientador: José Eduardo Tanus dos Santos<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Ciências Médicas<br>Made available in DSpace on 2018-11-07T16:45:40Z (GMT). No. of bitstreams: 1 Gomes_ValeriaAguiar_D.pdf: 9967733 bytes, checksum: 0f5a9488cc56b0e1272b80bd9cb6ea0b (MD5) Previous issue date: 2012<br>Resumo: A síndrome do ovário policístico (SOP) é a endocrinopatia mais comum em mulheres na idade reprodutiva e está frequentemente associada a alguns fatores de risco cardiovascular. A grande maioria das doenças cardiovasculares (DCV) ocorre inicialmente com o remodel

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Robertson, Ian Butler. "An investigation into the molecular mechanism of the fibrillin1-LTBP1 interaction." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:e154e0a2-c0cb-42bd-8b90-7a13460700c0.

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Many studies have demonstrated a connection between the fibrillin matrix and TGFβ signalling, but at present the mechanistic basis for this link is unclear. An interaction between the C-terminus of Latent TGFβ Binding Protein 1 (LTBP1) and the N-terminus of fibrillin1 has previously been identified, and may have the potential to directly link the fibrillin matrix to TGFβ signalling. To investigate the structural basis for this interaction, several multi-domain fragments of fibrillin1 and LTBP1 were expressed prokaryotically and refolded in vitro. After initial characterisation t

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Books on the topic "Cardiovascular disease Confusion Matrix"

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Khalil, Raouf A. Matrix Metalloproteinases and Tissue Remodeling in Health and Disease: Cardiovascular Remodeling. Elsevier Science & Technology Books, 2017.

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Khalil, Raouf A. Matrix Metalloproteinses, and Tissue Remodeling in Health and Disease Pt. I: Cardiovascular Remodeling. Elsevier Science & Technology, 2017.

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Kahn, S. Lowell. Creation of a Flow-Modulating Stent Using Multilayered Wallstents for Aneurysm Exclusion. Edited by S. Lowell Kahn, Bulent Arslan, and Abdulrahman Masrani. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199986071.003.0011.

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Abdominal aortic aneurysms (AAAs) are a common pathology that is found in 4–9% of patients in the developed world. Risk factors for AAAs include age, male sex, family history, comorbid cardiovascular disease, and smoking. Despite the male predominance of the disease, rupture occurs at a smaller diameter in females, and the outcomes are poorer in this subgroup. Flow-modulating stents are a relatively new development and consist of multilayered bare-metal self-expanding stents. Despite the inherent porosity of the stents, the interconnected stent matrix features flow-diverting properties that pr

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Guzik, Tomasz J., and Rhian M. Touyz. Vascular pathophysiology of hypertension. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198755777.003.0019.

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Hypertension is a multifactorial disease, in which vascular dysfunction plays a prominent role. It occurs in over 30% of adults worldwide and an additional 30% are at high risk of developing the disease. Vascular pathology is both a cause of the disease and a key manifestation of hypertension-associated target-organ damage. It leads to clinical symptoms and is a key risk factor for cardiovascular disease. All layers of the vascular wall and the endothelium are involved in the pathogenesis of hypertension. Pathogenetic mechanisms, whereby vascular damage contributes to hypertension, are linked

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Covic, Adrian, Mugurel Apetrii, Luminita Voroneanu, and David J. Goldsmith. Vascular calcification. Edited by David J. Goldsmith. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0120_update_001.

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Vascular calcification (VC) is a common feature of patients with advanced CKD and it could be, at least in part, the cause of increased cardiovascular mortality in these patients. From a morphologic point of view, there are at least two types of pathologic calcium phosphate deposition in the arterial wall—namely, intima calcification (mostly associated with atherosclerotic plaques) and media calcification (associated with stiffening of the vasculature, resulting in significantly adverse cardiovascular outcomes). Although VC was viewed initially as a passive phenomenon, it appears to be a cell-

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Badimon, Lina, and Gemma Vilahur. Atherosclerosis and thrombosis. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199687039.003.0040.

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Atherosclerosis is the main underlying cause of heart disease. The continuous exposure to cardiovascular risk factors induces endothelial activation/dysfunction which enhances the permeability of the endothelial layer and the expression of cytokines/chemokines and adhesion molecules. This results in the accumulation of lipids (low-density lipoprotein particles) in the extracellular matrix and the triggering of an inflammatory response. Accumulated low-density lipoprotein particles suffer modifications and become pro-atherogenic, enhancing leucocyte recruitment and further transmigration across

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Badimon, Lina, and Gemma Vilahur. Atherosclerosis and thrombosis. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199687039.003.0040_update_001.

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Atherosclerosis is the main underlying cause of heart disease. The continuous exposure to cardiovascular risk factors induces endothelial activation/dysfunction which enhances the permeability of the endothelial layer and the expression of cytokines/chemokines and adhesion molecules. This results in the accumulation of lipids (low-density lipoprotein particles) in the intimal layer and the triggering of an inflammatory response. Accumulated low-density lipoprotein particles attached to the extracellular matrix suffer modifications and become pro-atherogenic, enhancing leucocyte recruitment and

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Badimon, Lina, and Gemma Vilahur. Atherosclerosis and thrombosis. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199687039.003.0040_update_002.

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Atherosclerosis is the main underlying cause of heart disease. The continuous exposure to cardiovascular risk factors induces endothelial activation/dysfunction which enhances the permeability of the endothelial layer and the expression of cytokines/chemokines and adhesion molecules. This results in the accumulation of lipids (low-density lipoprotein particles) in the intimal layer and the triggering of an inflammatory response. Accumulated low-density lipoprotein particles attached to the extracellular matrix suffer modifications and become pro-atherogenic, enhancing leucocyte recruitment and

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Book chapters on the topic "Cardiovascular disease Confusion Matrix"

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Madri, Joseph A. "The Extracellular Matrix as a Modulator of Angiogenesis." In Cardiovascular Disease. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4684-5296-9_21.

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Nicosia, Roberto F., and Joseph A. Madri. "The Extracellular Matrix Produced during Angiogenesis in Culture." In Cardiovascular Disease. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4684-5296-9_22.

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Tyagi, Suresh C., Larry Meyer, Richard A. Schmaltz, Hanumanth K. Reddy, and Donald J. Voelker. "Proteinases and Restenosis: Matrix Metalloproteinase and their Inhibitor and Activator." In Cardiovascular Disease 2. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1959-1_3.

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Onishi, Shunzo, Naomasa Kawaguchi, Soiji Mori, and Nariaki Matsuura. "Cell-Cell and Cell-Extracellular Matrix Interactions in Cardiomyopathy." In Pathophysiology of Cardiovascular Disease. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4615-0453-5_6.

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Chalikias, Georgios K., and Dimitrios N. Tziakas. "Biomarkers of the Extracellular Matrix and of Collagen Fragments." In Biomarkers in Cardiovascular Disease. Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-007-7678-4_5.

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Chalikias, Georgios K., and Dimitrios N. Tziakas. "Biomarkers of the Extracellular Matrix and of Collagen Fragments." In Biomarkers in Cardiovascular Disease. Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-007-7741-5_5-1.

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Vermeer, Cees, Nadja E. A. Drummen, Marjo H. J. Knapen, and Fokko J. Zandbergen. "Uncarboxylated Matrix Gla Protein as a Biomarker in Cardiovascular Disease: Applications for Research and for Routine Diagnostics." In Biomarkers in Cardiovascular Disease. Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-007-7678-4_14.

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Vermeer, Cees, Nadja E. A. Drummen, Marjo H. J. Knapen, and Fokko J. Zandbergen. "Uncarboxylated Matrix Gla Protein as a Biomarker in Cardiovascular Disease: Applications for Research and for Routine Diagnostics." In Biomarkers in Cardiovascular Disease. Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-007-7741-5_14-1.

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Peker, Nurullah, and Mehmet Salih Ilbay. "Nutrition in Post-Menoposal Women." In Obstetrics & Gynecology and Nutrition. Nobel Tip Kitabevleri, 2024. http://dx.doi.org/10.69860/nobel.9786053359494.9.

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Menopause refers to a point in time that follows 1 year after complete cessation of menstruation. Menopausal transition and years spent in the post-menopausal state bring with them issues related to quality of life and disease prevention and manegement. With the onset of menopause and due to the lacking effect of estrogen, basal metabolism of the female body decreases significantly. During perimenopause and menopause, many lifestyle factors can reduce the risk of developing diseases (cardiovascular disease, insulin resistance, type 2 diabetes, osteoporosis and tumors) and symptoms specific to

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JayaSudha, T., R. Uma Rani, and P. Tamilarasi. "Data Science In Healthcare." In Advances in Web Technologies and Engineering. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-7868-7.ch007.

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Cardiovascular disease (CVD) has been the leading reason of death up to this point. Cardiovascular illness must be diagnosed as soon as possible to save patients' lives. The intention of this research is identifying the most important features to predict CVD by using feature selection method, and find out the most effective classification model to forecast cardiovascular diseases. This study makes use of patient datasets from the UCI repository for prediction. For data scaling, Min-Max Scaler is employed. Data transformation is accomplished using the label encoding technique. The Z-score metho

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Conference papers on the topic "Cardiovascular disease Confusion Matrix"

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Kanza, Rafly Arief, M. Udin Harun Al Rasyid, Sritrusta Sukaridhoto, Budi Utomo, Shifa Fauziah, and Grezio Arifiyan Primajaya. "A Cloud-Centric Application for Elderly Heart Disease Detection with Machine Learning and Confusion Matrix." In 2024 International Electronics Symposium (IES). IEEE, 2024. http://dx.doi.org/10.1109/ies63037.2024.10665789.

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Harris, William, and Irum Zahara. "Omega-3 and cardiovascular disease." In 2022 AOCS Annual Meeting & Expo. American Oil Chemists' Society (AOCS), 2022. http://dx.doi.org/10.21748/rrxh5251.

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Despite the fact that the â€œomega-3 lowers risk for CVDâ€ story is now 50 years old, controversies remain regarding the short and long-term utility of omega-3 supplementation to reduce risk for CVD. The earlier studies (published roughly before 2007) were generally favorable, however a spate of studies published since then were not nearly as clear. The one stand-out in the latter set was REDUCE-IT, which used 4 g/d of EPA ethyl esters (instead of EPA+DHA ethyl esters). In this study, the treated subjects experienced about 25% fewer CVD events than the placebo group. This resulted in FDA appr

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Pocevski, Božidar, Predrag Pocevski, and Marija Pocevski. "Health and social aspects of corona virus disease 2019 pandemic and post-COVID society." In Proceedings of the International Congress Public Health - Achievements and Challenges. Institute of Public Health of Serbia "Dr Milan Jovanović Batut", 2024. http://dx.doi.org/10.5937/batutphco24132p.

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It was proven so far, that Severe Acute Respiratory Syndrome induced by Corona Virus 2 (SARSCoV-2) is highly pathogenic virus, which spread rapidly. The spectrum of COVID-19 ranges from asymptomatic infection to severe respiratory failure. COVID-19 caused by SARS-CoV-2 is characterized primary as pulmonary disease. After three years of pandemic and several variants of corona viruses, in scientific circles and, more significant, in practice it turned out that SARS-CoV-2 shows neurological and cardiovascular manifestations. In practice we are facing with post-covid and long-covid symptoms. There

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Wostear, Finn, Robert T. Johnson, and Derek T. Warren. "BS46 Calcium signalling modulates VSMC response to matrix stiffness in ageing and disease." In British Cardiovascular Society Annual Conference, ‘Future-proofing Cardiology for the next 10 years’, 5–7 June 2023. BMJ Publishing Group Ltd and British Cardiovascular Society, 2023. http://dx.doi.org/10.1136/heartjnl-2023-bcs.259.

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Kiosova, Yu V., S. A. Nagorniy, L. A. Ermakova, and V. O. Telicheva. "COMPARATIVE ANALYSIS OF DIRECT DIAGNOSTIC METHODS FOR DIROFILARIASIS." In THEORY AND PRACTICE OF PARASITIC DISEASE CONTROL. VNIIP – FSC VIEV, 2024. http://dx.doi.org/10.31016/978-5-6050437-8-2.2024.25.169-175.

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Dirofilariasis is a relatively new medical problem directly related to changes in natural, climatic, and social conditions. Despite significant improvements and quality of deworming measures for dogs, the most epidemiologically significant source of Dirofilaria infection, there has been an increase in recent decades in the incidence of these nematodes in definitive hosts in Europe, both in highly endemic areas where their constant circulation is noted historically and Dirofilaria expansion into new areas. For 2023, venous blood was collected from 233 dogs from animal shelters in Rostov-on-Don

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Militão, Anthony, Hilson Gomes Vilar de Andrade, Kayo H. Monteiro, Elisson da Silva Rocha, and Patricia Takako Endo. "Comparing YOLO and Detectron2 models for automatic extracting patients information from leprosy assessment form." In Simpósio Brasileiro de Computação Aplicada à Saúde. Sociedade Brasileira de Computação - SBC, 2025. https://doi.org/10.5753/sbcas.2025.7140.

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Leprosy, caused by Mycobacterium leprae, remains a global challenge, requiring strategies to achieve disease elimination by 2030. In Brazil, the Simplified Neurological Assessment (from Portuguese Avaliação Neurológica Simplificada, ANS) is mandatory for suspected cases; however, the form is still manually fulfilled, which limits the use of data. This study evaluates computer vision models (YOLOv8x, YOLO11x, Faster R-CNN) for detecting hand and foot sensitivity regions from ANS forms. All models were evaluated based on precision, recall, mean average precision (mAP) and confusion matrix. YOLO

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Richardson, William J., Dennis D. van der Voort, and James E. Moore. "A Device to Subject Cells to Longitudinal Stretch Gradients on a Tube In Vitro." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80941.

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In the US, cardiovascular disease accounts for more than 800,000 deaths and an economic burden of nearly $300 billion per year. A major pathology afflicting the cardiovascular system is atherosclerosis, characterized by intraluminal plaque formation, producing a stenosis and obstructing flow. Balloon angioplasty, often coupled with the implantation of either a bare-metal or drug-eluting stent, has become a standard treatment of atherosclerosis. However, the host tissue’s response to stenting is frequently maladaptive, leading to intimal hyperplasia via smooth muscle cell (SMC) division and mig

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Espinosa, Gabriela, Lisa Bennett, William Gardner, and Jessica Wagenseil. "The Effects of Extracellular Matrix Protein Insufficiency and Treatment on the Stiffness of Arterial Smooth Muscle Cells." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14131.

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Increased arterial stiffness is directly correlated with hypertension and cardiovascular disease. Stiffness of the conducting arteries is largely determined by the extracellular matrix (ECM) proteins in the wall, such as collagen and elastin, produced by the smooth muscle cells (SMCs) found in the medial layer. Elastin is deposited as soluble tropoelastin and is later crosslinked into elastin fibers. Newborn mice lacking the elastin protein ( Eln−/−) have increased arterial wall stiffness and SMCs with altered proliferation, migration and morphology [1]. Vessel elasticity is also mediated by o

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Dodson, Reuben Blair, Paul J. Rozance, Kendall S. Hunter, and Virginia L. Ferguson. "Increased Stiffness of the Abdominal Aorta With Intrauterine Growth Restriction in the Near-Term Fetal Sheep." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80634.

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Fetal intrauterine growth restriction (IUGR) results in increased placental resistance to blood flow, fetal hypertension and increased pulsatility [1]. These hemodynamic changes have been shown to lead to vascular remodeling in adolescents and adults [2, 3] but have received little study of its effect during this critical period of vascular formation. Epidemiological studies link IUGR to cardiovascular disease in adulthood [4], but the reason for this is not clearly understood. Here, we examine a large elastic artery for developmental alterations under hypertensive conditions. We hypothesize t

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Chen, Joseph, Charles I. Fisher, M. K. Sewell-Loftin та W. David Merryman. "Calcific Nodule Morphogenesis by Aortic Valve Interstitial Cells: Synergism of Applied Strain and TGF-β1". У ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53899.

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Calcific Aortic Valve Disease (CAVD) is the third most common cause of cardiovascular disease, affecting nearly 5 million people in the United States alone. It is now the most common form of acquired valvular disease in industrialized countries and will likely affect more individuals in the coming years as the prevalence increases with life expectancy. It is known that the progression of CAVD is closely related to the behavior of aortic valve interstitial cells (AVICs); however the cellular mechanobiological mechanisms leading to dysfunction remain unclear. Generally, CAVD is characterized by

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