Hybrid Multi-Model Fuzzy Ensemble Approach for Cardiovascular Diseases Detection
Author:
Affiliation:
1. King Mongkut’s Institute of Technology Ladkrabang, Bangkok,School of Engineering,Bangkok,Thailand
2. National Science and Technology Development Agency,Assistive Technology and Medical Devices Research Center,Bangkok,Thailand
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10174256/10174258/10174458.pdf?arnumber=10174458
Reference19 articles.
1. BioLINCC: Framingham Heart Study-Cohort (FHS-Cohort),0
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3. SMOTE: Synthetic Minority Over-sampling Technique
4. An Ensemble Hard Voting Model for Cardiovascular Disease Prediction
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1. A comprehensive hybrid model for early detection of cardiovascular diseases using integrated CardioXGBoost and long short-term memory networks;Biomedical Signal Processing and Control;2024-09
2. Multi-Model Supervised Machine Learning Techniques for Heart Stroke Prediction;2024 International Conference on Expert Clouds and Applications (ICOECA);2024-04-18
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