[HTML][HTML] Advanced detection of coronary artery disease via deep learning analysis of plasma cytokine data

M Shoaib, A Junaid, G Husnain, M Qadir… - Frontiers in …, 2024 - frontiersin.org
The 2017 World Health Organization Fact Sheet highlights that coronary artery disease is
the leading cause of death globally, responsible for approximately 30% of all deaths. In this …

[HTML][HTML] Machine learning and statistical approaches for classification of risk of coronary artery disease using plasma cytokines

SS Saharan, P Nagar, KT Creasy, EO Stock, J Feng… - BioData Mining, 2021 - Springer
Background As per the 2017 WHO fact sheet, Coronary Artery Disease (CAD) is the primary
cause of death in the world, and accounts for 31% of total fatalities. The unprecedented 17.6 …

Improving the detection of acute coronary syndrome using machine learning of blood biomarkers

K Rjoob, V McGilligan, R Bond… - 2020 Computing in …, 2020 - ieeexplore.ieee.org
Background: Acute coronary syndrome (ACS) is one of the main causes of death worldwide.
The 12-lead electrocardiogram (ECG) is used to help diagnose ACS, along with clinical risk …

[HTML][HTML] Machine learning-based integration develops biomarkers initial the crosstalk between inflammation and immune in acute myocardial infarction patients

H Li, X Sun, Z Li, R Zhao, M Li, T Hu - Frontiers in Cardiovascular …, 2023 - frontiersin.org
Great strides have been made in past years toward revealing the pathogenesis of acute
myocardial infarction (AMI). However, the prognosis did not meet satisfactory expectations …

CoroNet: Predicting Coronary Artery Disease using Deep Convolutional Neural Networks and Ensemble Model for Enhanced Diagnostic Precision

AH Juliet, K Kalaiselvi, K Sathya - 2024 10th International …, 2024 - ieeexplore.ieee.org
The coronary artery disease (CAD) is a cardiovascular ailment marked by the constriction or
obstruction of the coronary arteries, hindering the circulation of blood to the heart muscle …

[HTML][HTML] Artificial intelligence applied to coronary artery diseases: from pathophysiology to precision medicine

R Vinci, A d'Aiello, S Costantino… - Frontiers in …, 2023 - frontiersin.org
The number of people who die each year from cardiac events is steadily increasing. Several
unaddressed needs persist in the field of cardiac care, with coronary artery phenotyping and …

[PDF][PDF] Evaluation of Machine Learning Techniques towards Early Detection of Cardiovascular Diseases

A Ekong - American Journal of Artificial Intelligence, 2023 - academia.edu
The effectiveness of three Machine Learning (ML) algorithms: Support Vector Machine
(SVM), Random Forest (RF) and K-Nearest Neighbour (KNN) techniques for the early …

[HTML][HTML] A systematic review: do the use of machine learning, deep learning, and artificial intelligence improve patient outcomes in acute myocardial ischemia …

BK Panjiyar, G Davydov, H Nashat, S Ghali, S Afifi… - Cureus, 2023 - ncbi.nlm.nih.gov
Cardiovascular diseases (CVDs) present a significant global health challenge and remain a
primary cause of death. Early detection and intervention are crucial for improved outcomes …

[HTML][HTML] Advanced machine learning techniques for cardiovascular disease early detection and diagnosis

NA Baghdadi, SM Farghaly Abdelaliem, A Malki… - Journal of Big Data, 2023 - Springer
The identification and prognosis of the potential for developing Cardiovascular Diseases
(CVD) in healthy individuals is a vital aspect of disease management. Accessing the …

[HTML][HTML] Early detection of coronary heart disease using ensemble techniques

V Shorewala - Informatics in Medicine Unlocked, 2021 - Elsevier
Heart disease is one the leading causes of death globally, making the early detection of it
crucial. Emerging technologies such as machine learning and deep learning are now being …