Comparative study of optimum medical diagnosis of human heart disease using machine learning technique with and without sequential feature selection

GN Ahmad, S Ullah, A Algethami, H Fatima… - ieee …, 2022 - ieeexplore.ieee.org
Predicting heart disease is regarded as one of the most difficult challenges in the health-
care profession. To predict cardiac disease, researchers employed a variety of algorithms …

Cardiovascular disease detection using ensemble learning

A Alqahtani, S Alsubai, M Sha… - Computational …, 2022 - Wiley Online Library
One of the most challenging tasks for clinicians is detecting symptoms of cardiovascular
disease as earlier as possible. Many individuals worldwide die each year from …

[Retracted] Analyzing the Performance of Machine Learning Techniques in Disease Prediction

K Phasinam, T Mondal, D Novaliendry… - Journal of Food …, 2022 - Wiley Online Library
The history of data stored can be used to forecast potential patterns and help companies
make competitive decisions to increase their success and benefits. Many analysts look at …

Implementation of machine learning techniques for disease diagnosis

S Mall, A Srivastava, BD Mazumdar, M Mishra… - Materials Today …, 2022 - Elsevier
Recently, data mining and machine learning techniques have found widespread use in the
field of healthcare. The objective of this study is to develop an automated method for …

Cardiac Disease Prediction using Supervised Machine Learning Techniques.

C Gupta, A Saha, NVS Reddy… - Journal of Physics …, 2022 - iopscience.iop.org
Diagnosis of cardiac disease requires being more accurate, precise, and reliable. The
number of death cases due to cardiac attacks is increasing exponentially day by day. Thus …

[PDF][PDF] Heart disease classification using optimized Machine learning algorithms

MA Kadhim, AM Radhi - Iraqi Journal For Computer Science and …, 2023 - iasj.net
Early detection of heart disease is exceptionally critical to saving the lives of human beings.
Heart attack is one of the primary causes of high death rates throughout the world, due to the …

[HTML][HTML] Analysis of performance metrics of heart failured patients using Python and machine learning algorithms

RR Sanni, HS Guruprasad - Global transitions proceedings, 2021 - Elsevier
Heart is one of the most important organs in Human's body. In life, some changes may
happen that may bring various diseases like, blood pressure, sugar, etc. Similarly, heart …

[HTML][HTML] HCBiLSTM: A hybrid model for predicting heart disease using CNN and BiLSTM algorithms

PK Shrivastava, M Sharma, A Kumar - Measurement: Sensors, 2023 - Elsevier
In human existence, healthcare is an inevitable obligation. Heart disease is a broad term
that encompasses a variety of illnesses that affect the heart & veins. The early methods for …

Metaheuristic methods for efficiently predicting and classifying real life heart disease data using machine learning

E Ramirez-Asis, M Guzman-Avalos… - Mathematical …, 2022 - Wiley Online Library
The heart attack happens if the flow of blood leads to blocks in any of the blood veins and
vessels liable for delivering blood into internal parts of the heart. In the modern life activities …

Enhancing heart attack prediction with machine learning: A study at jordan university hospital

M Alshraideh, N Alshraideh… - … Intelligence and Soft …, 2024 - Wiley Online Library
Efforts have been made to address the adverse impact of heart disease on society by
improving its treatment and diagnosis. This study uses the Jordan University Hospital (JUH) …