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 (AIW-PSO)...

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Bibliographic Details
Main Authors: Marzia Ahmed, Mohd Herwan Sulaiman, Md Maruf Hassan, Touhid Bhuiyan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Heart failure survival prediction
machine learning algorithms
hyperparameter optimization
class imbalance handling
AIW-PSO optimization
Online Access:https://ieeexplore.ieee.org/document/10879494/
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https://ieeexplore.ieee.org/document/10879494/

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