Heart disease prediction using novel ensemble and blending based cardiovascular disease detection networks: EnsCVDD-Net and BlCVDD-Net

H Khan, N Javaid, T Bashir, M Akbar, N Alrajeh… - IEEE …, 2024 - ieeexplore.ieee.org
Cardiovascular Diseases (CVDs) have emerged as a significant physiological condition,
being a primary contributor to mortality. Timely and precise diagnosis of heart disease is …

Applying advanced data analytics on pregnancy complications to predict miscarriage with explainable AI

A Javed, N Javaid, M Hasnain, U Sarfraz… - IEEE …, 2024 - ieeexplore.ieee.org
Pregnancy complications in the early months of the family process can lead to miscarriage.
Miscarriage does not occur due to only one reason; many factors are involved in causing …

Leveraging fuzzy embedded wavelet neural network with multi-criteria decision-making approach for coronary artery disease prediction using biomedical data

M Ragab, SS Binyamin, W Alghamdi, T Althaqafi… - Scientific Reports, 2024 - nature.com
Coronary artery disease (CAD) is the main cause of death. It is a complex heart disease that
is linked with many risk factors and a variety of symptoms. In the past few years, CAD has …

[HTML][HTML] Forecasting Heart Disease Risk with a Stacking-Based Ensemble Machine Learning Method

Y Wu, Z Xia, Z Feng, M Huang, H Liu, Y Zhang - Electronics, 2024 - mdpi.com
As one of the main causes of sickness and mortality, heart disease, also known as
cardiovascular disease, must be detected early in order to be prevented and treated. The …

[HTML][HTML] DB-Net and DVR-Net: Optimized New Deep Learning Models for Efficient Cardiovascular Disease Prediction

A Javed, N Javaid, N Alrajeh, M Aslam - Applied Sciences, 2024 - mdpi.com
Cardiovascular Disease (CVD) is one of the main causes of death in recent years. To
overcome the challenges faced during diagnosing CVD at an early stage, deep learning has …

Heart disease prediction using spark architecture with fused feature set and hybrid Squeezenet-Linknet model

PR Kumar, P Chakrabarti, T Chakrabarti… - … Signal Processing and …, 2025 - Elsevier
Heart disease prediction is a vital global health initiative that requires innovative and precise
methodologies. This study presents a novel approach utilizing Spark architecture to …

Responsible AI for Cardiovascular Disease Detection: Towards a Privacy-Preserving and Interpretable Model

M Ferdowsi, MM Hasan, W Habib - Computer Methods and Programs in …, 2024 - Elsevier
Abstract Background and Objective Cardiovascular disease (CD) is a major global health
concern, affecting millions with symptoms like fatigue and chest discomfort. Timely …

An efficient cardio vascular disease prediction using multi-scale weighted feature fusion-based convolutional neural network with residual gated recurrent unit

K Gunasekaran, VD Ambeth Kumar… - Computer Methods in …, 2024 - Taylor & Francis
The cardiovascular disease (CVD) is the dangerous disease in the world. Most of the people
around the world are affected by this dangerous CVD. In under-developed countries, the …

Heart Disease Prediction using Random Forest Classifier

RR Devi, P Dharshini, R Hemala… - … Conference on Data …, 2023 - ieeexplore.ieee.org
Because cardiovascular disease is the worldwide top cause of death, early identification and
precise prediction are crucial for successful prevention and treatments. Machine learning …

Deep Learning Based Framework for Cardio Vascular Disease Risk Prediction

VB Shalini, TB Moofina, S Sowmya… - 2024 15th …, 2024 - ieeexplore.ieee.org
Depressive and anxiety disorders stem from an unhealthy lifestyle perpetuated by the hectic
lives of the modern world. In an effort to manage these symptoms, there is a tendency to turn …