[HTML][HTML] Classification models combined with Boruta feature selection for heart disease prediction

G Manikandan, B Pragadeesh, V Manojkumar… - Informatics in Medicine …, 2024 - Elsevier
Cardiovascular disease (CVD), generally called heart illness, is a collective term for various
ailments that affect the heart and blood vessels. Heart disease is a primary cause of fatality …

Heart disease prediction using stacking model with balancing techniques and dimensionality reduction

A Noor, N Javaid, N Alrajeh, B Mansoor… - IEEE …, 2023 - ieeexplore.ieee.org
Heart disease is a serious worldwide health issue with wide-reaching effects. Since heart
disease is one of the leading causes of mortality worldwide, early detection is crucial …

HCDP-DELM: Heterogeneous chronic disease prediction with temporal perspective enabled deep extreme learning machine

A Rehman, H Xing, M Hussain, N Gulzar… - Knowledge-Based …, 2024 - Elsevier
The strain on healthcare systems is growing dramatically due to the significant rise in
heterogeneous chronic disease incidence. Even though frequent patient monitoring is …

Multi-Objective artificial bee colony optimized hybrid deep belief network and XGBoost algorithm for heart disease prediction

K Kalita, N Ganesh, S Jayalakshmi… - Frontiers in Digital …, 2023 - frontiersin.org
The global rise in heart disease necessitates precise prediction tools to assess individual
risk levels. This paper introduces a novel Multi-Objective Artificial Bee Colony Optimized …

A novel stacking framework with PSO optimized SVM for effective disease classification

S Arukonda, R Cheruku - Journal of Intelligent & Fuzzy …, 2023 - content.iospress.com
Disease diagnosis is very important in the medical field. It is essential to diagnose chronic
diseases such as diabetes, heart disease, cancer, and kidney diseases in the early stage. In …

Heart Disease Diagnostics Using Meta‐Learning‐Based Hybrid Feature Selection

K Dissanayake, MG Md Johar - … Computational Intelligence and …, 2024 - Wiley Online Library
Heart disease, encompassing a range of conditions affecting the heart, remains a leading
cause of morbidity and mortality worldwide. The urgent need for precise diagnostic …

A State of Art of Cardiovascular Diseases Using Machine Learning Algorithms

H Benzakour, C Chekira, H El Fadili… - 2023 7th IEEE …, 2023 - ieeexplore.ieee.org
One of the primary causes of death on the globe is heart disease. It can be accurately and
early predicted, which can help to avoid negative effects. The prediction of cardiac disease …

Diagnosing vascular aging based on macro and micronutrients using ensemble machine learning

C Patino-Alonso, M Gómez-Sánchez… - Mathematics, 2023 - mdpi.com
The influence of dietary components on vascular dysfunction and aging is unclear. This
study therefore aims to propose a model to predict the influence of macro and micronutrients …

Stacked ensemble learning for facial gender classification using deep learning based features extraction

F waris, F Da, S Liu - Cluster Computing, 2024 - Springer
Automatic gender classification is an important task in facial analysis. Recently, deep
learning has achieved remarkable progress in extracting deep features for face image …

Mitigating class imbalance in heart disease detection with machine learning

A Pandey, BA Shivaji, M Acharya… - Multimedia Tools and …, 2024 - Springer
Within the context of contemporary civilization, cardiovascular disease has emerged as a
severe health issue that impacts individuals of all ages and from a variety of backgrounds …