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Neural Networks for Medical Image Computing
Published in K. Gayathri Devi, Kishore Balasubramanian, Le Anh Ngoc, Machine Learning and Deep Learning Techniques for Medical Science, 2022
V.A. Pravina, P.K. Poonguzhali, A Kishore Kumar
Atherosclerosis is a type of cardiovascular disease that narrows the arteries and creates plaque as a result of cholesterol in the blood. Due to the accumulation of this plaque, the flow of blood reduces and the blood vessels get blocked, which may result in heart attack. Therefore, it is vital to detect the cardiovascular disease by developing a medical diagnostic support system (MDSS). It is developed using Artificial Neural Network, and Decision Tree algorithms [1]. They were applied on 835 samples which were collected from the UCI repository. The classification was done using the features that were obtained from the database. By computing different metrics the performance of the method was evaluated. Results showed that the model was able to achieve higher accuracy.
Medical Image Classification Algorithm Based on Weight Initialization-Sliding Window Fusion Convolutional Neural Network
Published in Varun Bajaj, G.R. Sinha, Computer-aided Design and Diagnosis Methods for Biomedical Applications, 2021
Ankit Kumar, Pankaj Dadheech, S. R. Dogiwal, Sandeep Kumar, Rajani Kumari
There is an amount of work to manipulate the output of the heart, many of which are tapering or obstruction of the coronary arteries because of coronary artery disease, usually caused by atherosclerosis. Atherosclerosis (occasionally vociferate the “hardening” or else “pressing” of the arteries) produces cholesterol along with pinged deposits (called plaques) which lies along the internal ramparts of the arteries. This plaque may confine the bloodstream to the heart strength via closing the artery or with irregular arterial tone and role. With sufficient blood delivery, the heart is filled with oxygen along with the essential nutrients that are required for it to function correctly. This can be the reason for the chest pain called angina. If the blood delivers to a part of the heart that is completely blocked, or if the energy needed by the heart exceeds its blood supply, a heart attack can occur.
Risky Business
Published in Kenneth L. Mossman, Radiation Risks in Perspective, 2006
No matter what you do and how careful you are, you cannot entirely eliminate risks of certain diseases or injuries. However, living a healthy lifestyle can reduce some risks. For example, risks for cardiovascular diseases are known to be influenced by dietary fat and high blood pressure. By enacting behavioral modifications related to diet and exercise, and taking appropriate prescription drugs, we can significantly reduce the risk of heart attack.2 Some people live riskier lives than others because they smoke, maintain poor diet and nutrition, drink excessive amounts of alcohol, or use or abuse recreational or prescription drugs. Of course, one can never know whether a risk-prevention strategy worked for a particular individual. But we do know from population health studies that a number of risk-prevention strategies (such as wearing seat belts and reducing or eliminating cigarette smoking) have an overall public health benefit.
Feature Selection and Instance Selection from Clinical Datasets Using Co-operative Co-evolution and Classification Using Random Forest
Published in IETE Journal of Research, 2022
V. R. Elgin Christo, H. Khanna Nehemiah, J. Brighty, Arputharaj Kannan
Cardiovascular disease refers to conditions involving narrowed blood vessels or blocked blood vessels that can lead to a heart attack, chest pain (angina), or stroke. The Cleveland Heart Disease dataset (CHD) contains 303 instances with 13 features. There are four class labels indicating the severity level of the heart disease. However, in this work, CHD is used for binary classification where 0 indicates the absence and 1 indicates the presence of heart disease. The attribute description of CHD dataset is shown in Table 5.
Developing neural network model for predicting cardiac and cardiovascular health using bioelectrical signal processing
Published in Computer Methods in Biomechanics and Biomedical Engineering, 2022
Sergey Filist, Riad Taha Al-kasasbeh, Olga Shatalova, Altyn Aikeyeva, Nikolay Korenevskiy, Ashraf Shaqadan, Andrey Trifonov, Maksim Ilyash
Heart attacks and strokes are usually acute events and are mainly caused by a blockage that prevents blood from flowing to the heart or brain (described in WHO, 2015). The most common reason for this is a build-up of fatty deposits on the inner walls of the blood vessels that supply the heart or brain. Strokes can be caused by bleeding from a blood vessel in the brain or from blood clots.