[Retracted] An Effective Machine Learning‐Based Model for an Early Heart Disease Prediction
PC Bizimana, Z Zhang, M Asim… - BioMed Research …, 2023 - Wiley Online Library
Heart disease (HD) has become a dangerous problem and one of the most significant
mortality factors worldwide, which requires an expensive and sophisticated detection …
mortality factors worldwide, which requires an expensive and sophisticated detection …
An empirical study on machine learning algorithms for heart disease prediction
TA Assegie, PK Rangarajan, NK Kumar… - … Journal of Artificial …, 2022 - search.proquest.com
In recent years, machine learning is attaining higher precision and accuracy in clinical heart
disease dataset classification. However, literature shows that the quality of heart disease …
disease dataset classification. However, literature shows that the quality of heart disease …
[PDF][PDF] An Effective Heart Disease Prediction Framework based on Ensemble Techniques in Machine Learning
D Yewale, SP Vijayaragavan… - International Journal of …, 2023 - academia.edu
To design a framework for effective prediction of heart disease based on ensemble
techniques, without the need of feature selection, incorporating data balancing, outlier …
techniques, without the need of feature selection, incorporating data balancing, outlier …
Effective feature engineering technique for heart disease prediction with machine learning
Heart failure is a chronic disease affecting millions worldwide. An efficient machine learning-
based technique is needed to predict heart failure health status early and take necessary …
based technique is needed to predict heart failure health status early and take necessary …
Computational learning model for prediction of heart disease using machine learning based on a new regularizer
Heart diseases are characterized as heterogeneous diseases comprising multiple subtypes.
Early diagnosis and prognosis of heart disease are essential to facilitate the clinical …
Early diagnosis and prognosis of heart disease are essential to facilitate the clinical …
Machine Learning‐Based Model to Predict Heart Disease in Early Stage Employing Different Feature Selection Techniques
Almost 17.9 million people are losing their lives due to cardiovascular disease, which is 32%
of total death throughout the world. It is a global concern nowadays. However, it is a matter …
of total death throughout the world. It is a global concern nowadays. However, it is a matter …
[HTML][HTML] Effective heart disease prediction using machine learning techniques
The diagnosis and prognosis of cardiovascular disease are crucial medical tasks to ensure
correct classification, which helps cardiologists provide proper treatment to the patient …
correct classification, which helps cardiologists provide proper treatment to the patient …
A novel study on machine learning algorithm‐based cardiovascular disease prediction
Cardiovascular disease (CVD) is a life‐threatening disease rising considerably in the world.
Early detection and prediction of CVD as well as other heart diseases might protect many …
Early detection and prediction of CVD as well as other heart diseases might protect many …
Performance evaluation of machine learning techniques (MLT) for heart disease prediction
The leading cause of death worldwide today is heart disease (HD). The heart is recognised
as the second‐most significant organ behind the brain. A successful outcome of treatment …
as the second‐most significant organ behind the brain. A successful outcome of treatment …
An integrated machine learning framework for effective prediction of cardiovascular diseases
Cardiovascular diseases are considered as the most life-threatening syndromes with the
highest mortality rate globally. Over a period of time, they have become very common and …
highest mortality rate globally. Over a period of time, they have become very common and …