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Performance of Diverse Machine Learning Algorithms for Heart Disease Prognosis
Published in Ayodeji Olalekan Salau, Shruti Jain, Meenakshi Sood, Computational Intelligence and Data Sciences, 2022
Dhruv Kaliraman, Gauri Kamath, Suchitra Khoje, Prajakta Pardeshi
Heart failure is the prime cause of death. It is one of the most chronic illnesses, and it can lead to disabilities and pose financial problems to patients. As per World Health Organization records, 17.5 million individuals die every year from cardiovascular disease [1]. The prognosis of heart disease is challenging for doctors as some of the symptoms experienced can be related to other illnesses or may be indicators of aging [2]. When the arteries of the heart lose the ability to transport blood that is rich in oxygen, heart disease is likely to occur. A common cause is plaque buildup in the lining of larger coronary arteries. It may partially or entirely block the blood flow in the heart’s large arteries. This condition may occur as a result of an illness or accident that changes the way the heart arteries function [3]. Electrocardiogram (ECG), Holter screening, echocardiogram, stress examination, cardiac catheterization, cardiac computerized tomography (CT) scan, and cardiac magnetic resonance imaging are some of the medical tests that doctors and experts run to detect cardiovascular disease [4].
Analysis of Heart Disease Prediction Using Various Machine Learning Techniques
Published in J. Dinesh Peter, Steven Lawrence Fernandes, Carlos Eduardo Thomaz, Advances in Computerized Analysis in Clinical and Medical Imaging, 2019
M. Marimuthu, S. Deivarani, R. Gayathri
Coronary heart disease or coronary artery disease is the narrowing of the coronary arteries. The coronary arteries supply oxygen and blood to the heart. It is the most common type of heart disease leading to death. High blood glucose in diabetes patients can damage blood vessels and nerves that control the heart and blood vessels. If a person has diabetes for a longer time, there are high chances for that person to have heart disease in future. With diabetes, there are other reasons that contribute to heart disease. Smoking increases the risk of developing heart disease, high blood pressure makes the heart work harder to pump blood and it can strain the heart and damage blood vessels, abnormal cholesterol levels also contribute to heart disease and obesity. Also, family history of heart disease can be another cause, which is out of scope of this chapter.
Overview of Imaging Atherosclerosis
Published in Robert J. Gropler, David K. Glover, Albert J. Sinusas, Heinrich Taegtmeyer, Cardiovascular Molecular Imaging, 2007
Vardan Amirbekian, Smbat Amirbekian, Juan Gilberto S. Aguinaldo, Valentin Fuster, Zahi A. Fayad
Artherosclerosis of the coronary arteries is the major cause of heart disease. Arguably, location of atherosclerosis within the coronary arteries leads to the most detrimental events, in terms of sheer numbers, within Western societies. There are many technical and intrinsic challenges that must be overcome before coronary atherosclerosis can be imaged reproducibly and accurately using MRI. Using cardiac and respiratory gating the myocardium can be imaged very well. However, because of the small size, location, and tortuous course of the coronary arteries it is still not possible to image the coronary arteries even with cardiac and respiratory gating. That being said, progress is forthcoming and we believe that these technical challenges will eventually be overcome. The number of studies looking at MRI of the coronaries is gradually building with increasingly better results.
Identification of coronary artery stenosis based on hybrid segmentation and feature fusion
Published in Automatika, 2023
K. Kavipriya, Manjunatha Hiremath
Coronary artery disease (CAD), is the most common type of cardiovascular diseases and a major cause of mortality worldwide in the last decade. When the coronary arteries are narrowed or blocked induced by the atheromatous plaques building up inside, the reduction of oxygen-rich blood flow to the heart muscle can cause angina or a myocardial infarction. The fundamental task required for the interpretation of coronary angiography is identification and quantification of severity of stenosis within the coronary circulation. However, with the complex vessel structure, image noise, poor contrast and non-uniform illumination appearing in the angiograms, the maximum degree of coronary artery stenosis cannot be always accurately evaluated.
Non - invasive modelling methodology for the diagnosis of coronary artery disease using fuzzy cognitive maps
Published in Computer Methods in Biomechanics and Biomedical Engineering, 2020
Ioannis D. Apostolopoulos, Peter P. Groumpos
Coronary Artery Disease is caused when the atherosclerotic plaques load, namely fill, in the lumen of the blood vessels of the heart, which are named coronary arteries, and they obstruct the blood flow to the heart. This results to a decreased provision of oxygen and nutritional substances to the cardiac tissues (Montalescot 2013). In general, the stenosis of >70% of the vessel’s diameter is considered abnormal (Willerson et al. 2007).