Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review

M Jafari, A Shoeibi, M Khodatars, N Ghassemi… - Computers in Biology …, 2023 - Elsevier
In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of
mortality globally. At early stages, CVDs appear with minor symptoms and progressively get …

A Review of Machine Learning's Role in Cardiovascular Disease Prediction: Recent Advances and Future Challenges

MA Naser, AA Majeed, M Alsabah, TR Al-Shaikhli… - Algorithms, 2024 - mdpi.com
Cardiovascular disease is the leading cause of global mortality and responsible for millions
of deaths annually. The mortality rate and overall consequences of cardiac disease can be …

Machine learning-based coronary artery disease diagnosis: A comprehensive review

R Alizadehsani, M Abdar, M Roshanzamir… - Computers in biology …, 2019 - Elsevier
Coronary artery disease (CAD) is the most common cardiovascular disease (CVD) and often
leads to a heart attack. It annually causes millions of deaths and billions of dollars in …

[Retracted] Machine Learning‐Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic …

A Javeed, SU Khan, L Ali, S Ali… - … Methods in Medicine, 2022 - Wiley Online Library
One of the leading causes of deaths around the globe is heart disease. Heart is an organ
that is responsible for the supply of blood to each part of the body. Coronary artery disease …

Heart disease prediction using machine learning techniques: a quantitative review

L Riyaz, MA Butt, M Zaman, O Ayob - International Conference on …, 2022 - Springer
Heart diseases or the cardiovascular diseases are the main reasons for a large number of
deaths in the world today. Heart disease affects the functioning of blood vessels and can …

RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance

F Khozeimeh, D Sharifrazi, NH Izadi, JH Joloudari… - Scientific reports, 2022 - nature.com
Coronary artery disease (CAD) is a prevalent disease with high morbidity and mortality
rates. Invasive coronary angiography is the reference standard for diagnosing CAD but is …

Image-based cardiac diagnosis with machine learning: a review

C Martin-Isla, VM Campello, C Izquierdo… - Frontiers in …, 2020 - frontiersin.org
Cardiac imaging plays an important role in the diagnosis of cardiovascular disease (CVD).
Until now, its role has been limited to visual and quantitative assessment of cardiac structure …

Diagnosis of cardiovascular disease using deep learning technique

S Ahmad, MZ Asghar, FM Alotaibi, YD Alotaibi - Soft Computing, 2023 - Springer
Abstract World Health Organization reports that cardiovascular disease is the major cause of
death. Cardiovascular disease is responsible for around 31% of global deaths, resulting in …

[HTML][HTML] Deep learning for cardiac computer-aided diagnosis: benefits, issues & solutions

BCS Loh, PHH Then - Mhealth, 2017 - ncbi.nlm.nih.gov
Cardiovascular diseases are one of the top causes of deaths worldwide. In developing
nations and rural areas, difficulties with diagnosis and treatment are made worse due to the …

Identifying the main risk factors for cardiovascular diseases prediction using machine learning algorithms

LR Guarneros-Nolasco, NA Cruz-Ramos… - Mathematics, 2021 - mdpi.com
Cardiovascular Diseases (CVDs) are a leading cause of death globally. In CVDs, the heart
is unable to deliver enough blood to other body regions. As an effective and accurate …