A Review of Machine Learning's Role in Cardiovascular Disease Prediction: Recent Advances and Future Challenges
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 …
of deaths annually. The mortality rate and overall consequences of cardiac disease can be …
A Review of Machine Learning Techniques Used in the Prediction of Heart Disease.
CS Chaithra, S Siddesha… - Revue d'Intelligence …, 2024 - search.ebscohost.com
Heart disease stands as a principal cause of death worldwide, and its early prediction is
essential for effective patient management and the reduction of healthcare expenditures. In …
essential for effective patient management and the reduction of healthcare expenditures. In …
An Extensive Review of Machine Learning and Deep Learning Techniques on Heart Disease Classification and Prediction
Heart disease is a widespread global concern, underscoring the critical importance of early
detection to minimize mortality. Although coronary angiography is the most precise …
detection to minimize mortality. Although coronary angiography is the most precise …
Heart disease prediction using machine learning techniques: a quantitative review
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 …
deaths in the world today. Heart disease affects the functioning of blood vessels and can …
A Review: Machine Learning and Data Mining Approaches for Cardiovascular Disease Diagnosis and Prediction
GS Rao, G Muneeswari - EAI Endorsed Transactions on …, 2024 - publications.eai.eu
INTRODUCTION: Cardiovascular disease (CVD) is the most common cause of death
worldwide, and its prevalence is rising in low-resource settings and among those with lower …
worldwide, and its prevalence is rising in low-resource settings and among those with lower …
[PDF][PDF] Machine Learning Approaches for Predicting and Preventing Adverse Cardiovascular Events.(3)
Over the last 10 years, a significant surge in cardiovascular diseases has been observed
around the world. Considering the cruciality of the disease leads to rapid action toward the …
around the world. Considering the cruciality of the disease leads to rapid action toward the …
Machine learning prediction in cardiovascular diseases: a meta-analysis
Several machine learning (ML) algorithms have been increasingly utilized for cardiovascular
disease prediction. We aim to assess and summarize the overall predictive ability of ML …
disease prediction. We aim to assess and summarize the overall predictive ability of ML …
Risk prediction of cardiovascular disease using machine learning classifiers
Cardiovascular disease (CVD) makes our heart and blood vessels dysfunctional and often
leads to death or physical paralysis. Therefore, early and automatic detection of CVD can …
leads to death or physical paralysis. Therefore, early and automatic detection of CVD can …
A cardiologist's guide to machine learning in cardiovascular disease prognosis prediction
A modern-day physician is faced with a vast abundance of clinical and scientific data, by far
surpassing the capabilities of the human mind. Until the last decade, advances in data …
surpassing the capabilities of the human mind. Until the last decade, advances in data …
An active learning machine technique based prediction of cardiovascular heart disease from UCI-repository database
S Srinivasan, S Gunasekaran, SK Mathivanan… - Scientific Reports, 2023 - nature.com
Heart disease is a significant global cause of mortality, and predicting it through clinical data
analysis poses challenges. Machine learning (ML) has emerged as a valuable tool for …
analysis poses challenges. Machine learning (ML) has emerged as a valuable tool for …