Early heart disease prediction using ensemble learning techniques

KR Chowdary, P Bhargav, N Nikhil… - Journal of Physics …, 2022 - iopscience.iop.org
Cardiovascular illnesses claim the lives of 18 million individuals each year (heart-related
diseases). According to the WHO, heart disease is to blame for 31% of all deaths worldwide …

Heart disease prediction using feature selection and ensemble learning techniques

A Lakshmanarao, A Srisaila… - 2021 Third International …, 2021 - ieeexplore.ieee.org
Cardiovascular diseases (heart-related diseases) are the reason for the deaths of 18 million
people every year in the world. According to WHO, 31% of the deaths worldwide are due to …

Heart disease prediction using machine learning techniques

U Sadar, P Agarwal, S Parveen, S Jain… - … Conference on Data …, 2023 - Springer
Heart disease, also called cardiovascular disease, is considered one of the deadliest
diseases that cause high mortality worldwide. Early detection or prediction is a challenging …

MLHeartDisPrediction: heart disease prediction using machine learning

M Radwan, N Mohamed Abdelrahman… - Journal of Computing …, 2023 - journals.ekb.eg
Predicting critical health conditions in their early stages can make the difference between life
and death, and one such health condition is heart disease. Over the last decade, the main …

Prediction of heart disease using an ensemble learning approach

GA Alshehri, HM Alharbi - International Journal of Advanced …, 2023 - search.proquest.com
The ability to predict diseases early is essential for improving healthcare quality and can
assist patients in avoiding potentially dangerous health conditions before it is too late …

[PDF][PDF] Heart disease prediction based on external factors: A machine learning approach

MA Tamal, MS Islam, MJ Ahmmed… - International …, 2019 - pdfs.semanticscholar.org
Technology has immensely changed the world over the last decade. As a consequence, the
life of the people is undergoing multiple changes that directly have positive and negative …

Ensemble framework for cardiovascular disease prediction

A Tiwari, A Chugh, A Sharma - Computers in Biology and Medicine, 2022 - Elsevier
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 …

A novel approach for heart disease prediction using genetic algorithm and ensemble classification

I Yekkala, S Dixit - Intelligent Systems and Applications: Proceedings of …, 2021 - Springer
Abstract Coronary Artery Disease (CAD) is one of the leading causes of death in humans
across the world over the last few decades. Coronary artery disease also leads to disability …

Heart Disease Prediction Using Machine Learning: A Systematic Literature Review

SD Prakoso, AE Permanasari… - 2023 10th International …, 2023 - ieeexplore.ieee.org
Heart disease, categorized as a cardiovascular condition, stands as a prominent factor in
worldwide mortality, accounting for approximately 32% of all deaths globally. It manifests …

Machine Learning Approach for Predicting the Heart Disease

R Gulhane, S Gupta - … of the International Conference on Innovative …, 2022 - papers.ssrn.com
Cardiovascular disease is a particularly lethal condition. This issue affects a significant
portion of the global population. When the mortality rate and the number of individuals …