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

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

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)...

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Bibliographic Details
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/
http://umpir.ump.edu.my/id/eprint/44038/1/Predicting%20the%20Classification%20of%20Heart%20Failure%20Patient.pdf

Internet

http://umpir.ump.edu.my/id/eprint/44038/
http://umpir.ump.edu.my/id/eprint/44038/1/Predicting%20the%20Classification%20of%20Heart%20Failure%20Patient.pdf

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