A Technical Comparative Heart Disease Prediction Framework Using Boosting Ensemble Techniques
This paper addresses the global surge in heart disease prevalence and its impact on public
health, stressing the need for accurate predictive models. The timely identification of …
health, stressing the need for accurate predictive models. The timely identification of …
Predictive classifier for cardiovascular disease based on stacking model fusion
J Liu, X Dong, H Zhao, Y Tian - Processes, 2022 - mdpi.com
The etiology of cardiovascular disease is still an unsolved world problem, and high
morbidity, disability, and mortality are the main characteristics of cardiovascular diseases …
morbidity, disability, and mortality are the main characteristics of cardiovascular diseases …
A model for heart disease prediction using feature selection with deep learning
V Baviskar, M Verma, P Chatterjee - International Advanced Computing …, 2020 - Springer
The heart disease is considered as the most widespread disease. It is challenging for most
of the physicians to diagnose at an early stage to avoid the risk of death rate. The main …
of the physicians to diagnose at an early stage to avoid the risk of death rate. The main …
Analysis of heart disease using parallel and sequential ensemble methods with feature selection techniques: heart disease prediction
DC Yadav, S Pal - International Journal of Big Data and Analytics in …, 2021 - igi-global.com
This paper has organized a heart disease-related dataset from UCI repository. The
organized dataset describes variables correlations with class-level target variables. This …
organized dataset describes variables correlations with class-level target variables. This …
Cardiovascular disease prognosis and analysis using machine learning techniques
A Kapoor, S Kapoor, K Upreti, P Singh… - … and Intelligent Systems, 2022 - Springer
Cardiovascular disease (CVD), includes a number of conditions that affect the heart and, in
recent decades, has been the leading cause of death worldwide. Heart disease is linked to a …
recent decades, has been the leading cause of death worldwide. Heart disease is linked to a …
Ensemble framework for cardiovascular disease prediction
Heart disease is the major cause of non-communicable and silent death worldwide. Heart
diseases or cardiovascular diseases are classified into four types: coronary heart disease …
diseases or cardiovascular diseases are classified into four types: coronary heart disease …
A hybrid cost-sensitive ensemble for heart disease prediction
Q Zhenya, Z Zhang - BMC medical informatics and decision making, 2021 - Springer
Background Heart disease is the primary cause of morbidity and mortality in the world. It
includes numerous problems and symptoms. The diagnosis of heart disease is difficult …
includes numerous problems and symptoms. The diagnosis of heart disease is difficult …
[HTML][HTML] Improving the accuracy of prediction of heart disease risk based on ensemble classification techniques
Abstract Machine learning involves artificial intelligence, and it is used in solving many
problems in data science. One common application of machine learning is the prediction of …
problems in data science. One common application of machine learning is the prediction of …
Predicting heart diseases through feature selection and ensemble classifiers
Abstract Heart diseases or Cardiovascular Diseases are the leading cause of death globally.
Amid the Covid-19 pandemic, the toll has further increased and is prevalent among all age …
Amid the Covid-19 pandemic, the toll has further increased and is prevalent among all age …
Diagnosis of cardiovascular diseases by ensemble optimization deep learning techniques
Cardiovascular disease (CVD) is a variety of diseases that affect the blood vessels and the
heart. The authors propose a set of deep learning inspired by the approach used in CVD …
heart. The authors propose a set of deep learning inspired by the approach used in CVD …