Predicting the classification of heart failure patients using optimized machine learning algorithms

• Main Authors: Ahmed, Marzia, Mohd Herwan, Sulaiman, Hassan, Md Maruf, Bhuiyan, Touhid
• Format: Article
• Language: English
• Published: IEEE 2025
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/44038/1/Predicting%20the%20Classification%20of%20Heart%20Failure%20Patient.pdf; http://umpir.ump.edu.my/id/eprint/44038/; https://doi.org/10.1109/ACCESS.2025.3541069; https://doi.org/10.1109/ACCESS.2025.3541069

Heart failure is a critical condition with a high mortality rate, making accurate survival prediction essential for timely interventions. This study proposes an optimized machine learning approach using Gradient Boosting Machine (GBM) and Adaptive Inertia Weight Particle Swarm Optimization (AIWPSO)...