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[PDF][PDF] A Review on Artificial Intelligence and Quantum Machine Learning for Heart Disease Diagnosis: Current Techniques, Challenges and Issues, Recent …
HG Enad, MA Mohammed - Fusion: Practice & Applications, 2023 - researchgate.net
This study presents a comprehensive analysis of the existing techniques and applications of
artificial intelligence (AI) to cardiovascular disease diagnosis. The application of AI to the …
artificial intelligence (AI) to cardiovascular disease diagnosis. The application of AI to the …
An integrated two-layered voting (TLV) framework for coronary artery disease prediction using machine learning classifiers
DY Omkari, K Shaik - IEEE Access, 2024 - ieeexplore.ieee.org
Cardiovascular problems have emerged as a significant concern, adversely impacting
individuals across all age groups. Several recent research studies have used Machine …
individuals across all age groups. Several recent research studies have used Machine …
Heart Disease Predictive Analysis Using Machine Learning Approaches
Machine Learning (ML) has found widespread applications in the healthcare sector
worldwide, including the diagnosis and treatment of heart diseases, locomotor disorders …
worldwide, including the diagnosis and treatment of heart diseases, locomotor disorders …
[PDF][PDF] A machine learning approach to cardiovascular disease prediction with advanced feature selection
A Abdullahi, M Ali Barre… - Indonesian Journal of …, 2024 - academia.edu
Cardiovascular diseases (CVDs) pose a significant global public health challenge,
necessitating precise risk assessment for proactive treatment and optimal utilization of …
necessitating precise risk assessment for proactive treatment and optimal utilization of …
Cardiovascular Disease Prediction: Employing Extra Tree Classifier-Based Feature Selection and Optimized RNN with Artificial Bee Colony.
YO Daddala, K Shaik - Revue d'Intelligence Artificielle, 2024 - search.ebscohost.com
Cardiovascular disease (CVD) stands as the most widespread severe illness impacting
human health on a global scale. Forecasting CVDs in advance becomes more and more …
human health on a global scale. Forecasting CVDs in advance becomes more and more …
Boruta feature selection method for optimizing a case-based reasoning model to predict heart disease
Nowadays, heart diseases are becoming a major problem, with which a significant part of
the world population is affected. The field of medicine may significantly benefit from …
the world population is affected. The field of medicine may significantly benefit from …
A Machine Learning-Based Traditional and Ensemble Technique for Predicting Breast Cancer
Breast cancer is a physical disease and increasing in recent years. The topic is known
widely in the recent world. Most women are suffering from problem of breast cancer. The …
widely in the recent world. Most women are suffering from problem of breast cancer. The …
Utilizing Optimization Techniques in Feature Selection for Effective Cardiovascular Disease Prediction
Cardiovascular disease (CVD) is considered one of the significant global health challenges,
affecting individuals and societies worldwide. This paper aims to address the challenge of …
affecting individuals and societies worldwide. This paper aims to address the challenge of …