Cardiovascular Disease Prediction using Ensemble Learning Techniques: A Stacking Approach
Author:
Affiliation:
1. University of Malaya,Faculty of Computer Science and Information Technology,Kuala Lumpur,Malaysia
2. College of Information Technology United Arab Emirates University,Al Ain,United Arab Emirates
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10087343/10087366/10087730.pdf?arnumber=10087730
Reference19 articles.
1. Using Machine Learning to Predict the Future Development of Disease
2. Identifying the Main Risk Factors for Cardiovascular Diseases Prediction Using Machine Learning Algorithms
3. An Integrated Machine Learning Framework for Effective Prediction of Cardiovascular Diseases
4. Comparison of machine learning algorithms for clinical event prediction (risk of coronary heart disease)
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1. Cardiovascular Disease Prediction Using Deep Learning;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14
2. Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Setting;Lecture Notes in Computer Science;2024
3. An Improved Cardiovascular Disease Prediction Model Using Ensembling of Diverse Machine Learning Classifiers;2023 OITS International Conference on Information Technology (OCIT);2023-12-13
4. Analysis on Feature Selection and Classification of Cardiovascular Disease using Machine Learning;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04
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