Ensemble framework for cardiovascular disease prediction
Heart disease is the major cause of non-communicable and silent death worldwide. Heart
diseases or cardiovascular diseases are classified into four types: coronary heart disease …
diseases or cardiovascular diseases are classified into four types: coronary heart disease …
An integrated machine learning framework for effective prediction of cardiovascular diseases
Cardiovascular diseases are considered as the most life-threatening syndromes with the
highest mortality rate globally. Over a period of time, they have become very common and …
highest mortality rate globally. Over a period of time, they have become very common and …
Early prediction in classification of cardiovascular diseases with machine learning, neuro-fuzzy and statistical methods
Simple Summary Timely and accurate detection of cardiovascular diseases is critical to
reduce the risk of myocardial infarction. This article proposes a methodology using machine …
reduce the risk of myocardial infarction. This article proposes a methodology using machine …
A systematic mapping study for ensemble classification methods in cardiovascular disease
M Hosni, JM Carrillo de Gea, A Idri, M El Bajta… - Artificial Intelligence …, 2021 - Springer
Ensemble methods overcome the limitations of single machine learning techniques by
combining different techniques, and are employed in the quest to achieve a high level of …
combining different techniques, and are employed in the quest to achieve a high level of …
DASMcC: Data Augmented SMOTE Multi-class Classifier for prediction of Cardiovascular Diseases using time series features
N Sinha, MAG Kumar, AM Joshi… - IEEE Access, 2023 - ieeexplore.ieee.org
One of the leading causes of mortality worldwide is cardiovascular disease (CVD).
Electrocardiography (ECG) is a noninvasive and cost-effective tool to diagnose the heart's …
Electrocardiography (ECG) is a noninvasive and cost-effective tool to diagnose the heart's …
A comprehensive analysis of deep learning techniques for effective heart disease prediction
Life style disorders like diabetes, cardio vascular diseases (CVD) etc. are spreading like an
epidemic to a pandemic. Heart disease (HD) besides other health consequences has …
epidemic to a pandemic. Heart disease (HD) besides other health consequences has …
Heart disease classification using novel heterogeneous ensemble
K Nguyen, JWY Lim, KP Lee, T Lin… - 2021 IEEE EMBS …, 2021 - ieeexplore.ieee.org
Heart disease diagnosis requires substantial effort from medical professionals. To efficiently
predict the prevalence of heart disease, researchers have turned to machine learning and …
predict the prevalence of heart disease, researchers have turned to machine learning and …
[PDF][PDF] Predicting heart disease based on influential features with machine learning
Heart disease is a major health concern worldwide. The chances of recovery are bright if it is
detected at an early stage. The present report discusses a comparative approach to the …
detected at an early stage. The present report discusses a comparative approach to the …
Prediction of heart disease severity with hybrid data mining
M Saini, N Baliyan, V Bassi - 2017 2nd International …, 2017 - ieeexplore.ieee.org
Nowadays, heart diseases are very common and one of the major causes of death across
the globe. This calls for an accurate and timely diagnosis of the heart disease. There is …
the globe. This calls for an accurate and timely diagnosis of the heart disease. There is …