Identifying high risk of atherosclerosis using deep learning and ensemble learning

HH Olhosseiny, M Mirzaloo, M Bolic… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Atherosclerosis refers to the buildup of plaque on the artery walls. As the disease advances
in its further stages, its burden could lead to stroke or heart attack. Atherosclerosis develops …

Majority voting ensembled feature selection and customized deep neural network for the enhanced clinical decision support system

MD Fathima, SJ Samuel… - … Journal of Computers …, 2022 - Taylor & Francis
Heart disease and diabetes are global health issues that affect people worldwide. Diabetes
is becoming a significant concern, and Diabetes patients have a substantially higher risk of …

TPTM-HANN-GA: A Novel Hyperparameter Optimization Framework Integrating the Taguchi Method, an Artificial Neural Network, and a Genetic Algorithm for the …

CM Lin, YS Lin - Mathematics, 2024 - mdpi.com
The timely and precise prediction of cardiovascular disease (CVD) risk is essential for
effective prevention and intervention. This study proposes a novel framework that integrates …

Machine learning in cardiovascular medicine: are we there yet?

K Shameer, KW Johnson, BS Glicksberg, JT Dudley… - Heart, 2018 - heart.bmj.com
Artificial intelligence (AI) broadly refers to analytical algorithms that iteratively learn from
data, allowing computers to find hidden insights without being explicitly programmed where …

Heart disease prediction using concatenated hybrid ensemble classifiers

AB Majumder, S Gupta, D Singh, B Acharya… - Algorithms, 2023 - mdpi.com
Heart disease is a leading global cause of mortality, demanding early detection for effective
and timely medical intervention. In this study, we propose a machine learning-based model …

Early prediction of cardiovascular diseases using feature selection and machine learning techniques

TY Rashme, L Islam, S Jahan… - 2021 6th international …, 2021 - ieeexplore.ieee.org
cardiovascular disease is one of the most important diseases that affects the heart and blood
vessels. The loss of lives is mostly linked to a lack of early disease detection, and a …

A Modern Comparison of ML Algorithms for Cardiovascular Disease Prediction

A Chanchal, AS Singh… - 2021 9th International …, 2021 - ieeexplore.ieee.org
In today's world, with rise in number of people following a sedentary lifestyle, heart disease
has become the top reason of death. It is tough for healthcare personnel to forecast such an …

OPPORTUNITIES AND CHALLENGES OF MACHINE LEARNING AND DEEP LEARNING TECHNIQUES IN CARDIOVASCULAR DISEASE PREDICTION: A …

DY Omkari, SB SHINDE - Journal of Biological Systems, 2023 - World Scientific
Healthcare is indeed an inevitable part of life for everyone. In recent days, most of the deaths
have been happening because of noncommunicable diseases. Despite the significant …

Enhancing Cardiovascular Disease Prediction via Hybrid Deep Learning Architectures: A Step Towards Smart Healthcare

AA Murtaza, A Saher, H Mohyuddin… - … on Emerging Trends …, 2023 - ieeexplore.ieee.org
Cardiovascular disease presents a serious and increasing global health challenge, making
a substantial contribution to morbidity and mortality rates on a global scale. This research …

Efficient data-driven machine learning models for cardiovascular diseases risk prediction

E Dritsas, M Trigka - Sensors, 2023 - mdpi.com
Cardiovascular diseases (CVDs) are now the leading cause of death, as the quality of life
and human habits have changed significantly. CVDs are accompanied by various …