Efficient prediction of cardiovascular disease using machine learning algorithms with relief and LASSO feature selection techniques
Cardiovascular diseases (CVD) are among the most common serious illnesses affecting
human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce …
human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce …
Identification of significant features and data mining techniques in predicting heart disease
Cardiovascular disease is one of the biggest cause for morbidity and mortality among the
population of the world. Prediction of cardiovascular disease is regarded as one of the most …
population of the world. Prediction of cardiovascular disease is regarded as one of the most …
Decision tree-based diagnosis of coronary artery disease: CART model
Abstract Background and Objective As the most common cardiovascular defect, coronary
artery disease (CAD), also called ischemic heart disease, is one of the substantial causes of …
artery disease (CAD), also called ischemic heart disease, is one of the substantial causes of …
An intelligent learning system based on random search algorithm and optimized random forest model for improved heart disease detection
Heart failure is considered one of the leading cause of death around the world. The
diagnosis of heart failure is a challenging task especially in under-developed and …
diagnosis of heart failure is a challenging task especially in under-developed and …
A hybrid GA and PSO optimized approach for heart-disease prediction based on random forest
MG El-Shafiey, A Hagag, ESA El-Dahshan… - Multimedia Tools and …, 2022 - Springer
Nowadays, heart diseases are significantly contributing to deaths all over the world. Thus,
heart-disease prediction has garnered considerable attention in the medical domain …
heart-disease prediction has garnered considerable attention in the medical domain …
A hybrid method for heart disease diagnosis utilizing feature selection based ensemble classifier model generation
J Abdollahi, B Nouri-Moghaddam - Iran Journal of Computer Science, 2022 - Springer
Heart disease is one of the most complicated diseases, and it affects a large number of
individuals throughout the world. In healthcare, particularly cardiology, early and accurate …
individuals throughout the world. In healthcare, particularly cardiology, early and accurate …
Fuzzy logic and hybrid based approaches for the risk of heart disease detection: state-of-the-art review
J Kaur, BS Khehra - Journal of The Institution of Engineers (India): Series B, 2022 - Springer
Abstract Artificial Intelligence, Machine Learning, Fuzzy Logic, Neural Network, Genetic
Algorithm and their hybrid systems play vital role in the medical sciences to diagnose …
Algorithm and their hybrid systems play vital role in the medical sciences to diagnose …
A Comprehensive Review on Heart Disease Risk Prediction using Machine Learning and Deep Learning Algorithms
VVR Karna, VR Karna, V Janamala… - … Methods in Engineering, 2024 - Springer
Cardiovascular diseases claim approximately 17.9 million lives annually, with heart attacks
and strokes accounting for over 80% of these deaths. Key risk factors, including …
and strokes accounting for over 80% of these deaths. Key risk factors, including …
Diagnosis of heart disease using genetic algorithm based trained recurrent fuzzy neural networks
Abstract The World Health Organization (WHO) estimated one third of all global deaths
reason as cardiovascular diseases in 2015. Some computational techniques were proposed …
reason as cardiovascular diseases in 2015. Some computational techniques were proposed …
Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach
Coronary artery disease (CAD) is a leading cause of death worldwide and is associated with
high healthcare expenditure. Researchers are motivated to apply machine learning (ML) for …
high healthcare expenditure. Researchers are motivated to apply machine learning (ML) for …