Prediction of atherosclerosis diseases using biosensor-assisted deep learning artificial neuron model
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ORIGINAL ARTICLE
Prediction of atherosclerosis diseases using biosensor-assisted deep learning artificial neuron model Hongliang Yang1 • Zinan Li2 • Zhongyu Wang1 Received: 23 May 2020 / Accepted: 24 August 2020 Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract In the present medical era, the major cause of the rise in death rate worldwide is atherosclerosis disease and this diagnosis is complicated because initial signs are unattended. To reduce the costs of treatment and prevent serious events, it is necessary to improve the prediction accuracy of cardiovascular diseases during plaque formation. This proposal is intended to create a support system for the biosensor-assisted deep learning concepts for detecting atherosclerosis disease. With the clinical data, this mathematical model can predict heart disease based on deep learning-assisted k-means geometric distribution artificial neuron model. The atherosclerotic plaque formation mathematical model explains the early atherosclerotic lesion development in a more accurate manner. Further, the creation of the atherosclerotic plate, the test performs numerical simulations with idealized two-dimensional carotid artery bifurcation geometry. The proposed system has been analyzed using a variety of similarity tests such as the coefficient Matthews’s correlation (CMC). Furthermore, the results have reached 95.66% accuracy and 0.93 CMC, which are significantly higher than published conventional research. Keywords Deep learning concepts Cardiovascular diseases Atherosclerosis disease and artificial neuron
1 Introduction Cardiovascular diseases (CAVDs) are among the greatest deaths and injuries in industrialized countries, including coronary artery disease and stroke. More than 4 million CAVDs die in Europe every year based on the results taken on 2012 CAVD data [1]. Further, variety of signs of CAVDs are linked to a range of lifestyle risk factors which are controllable cardiovascular risk factors. Further, higher blood pressure, diabetes, cholesterol, obesity, stress, and alcohol can prevent and cure healthy habits [2]. Nevertheless, certain causes of risk could not be monitored in this age, and family history and genders are included. Most cases are known as atherosclerotic vascular disease, in particular, coronary artery (COAD) [3]. If this & Zhongyu Wang [email protected] 1
Department of Cardiology, China-Japan Union Hospital of Jilin University, Changchun 130033, China
2
Department of Anesthesiology, China-Japan Union Hospital of Jilin University, Changchun 130033, China
condition has not been treated, it may cause some complications such as blood coagulation, heart attack, stroke, or cardiac insufficiency. The cardiovascular patient [4] rate increases because of the lack of care during initial symptoms. In this situation, it is very difficult and costly to diagnose and treat the disease and it is hard to establish a medical cardiovascular disease support system. Early detection avoids death,
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