Integration of PSO-based advanced supervised learning techniques for classification data mining to predict heart failure
Mesran Mesran,
Remuz Mb Kmurawak,
Agus Perdana Windarto
Abstract:Heart failure (HF) is a global health threat, requiring urgent research in its classification. This study proposes a novel approach for HF classification by integrating advanced supervised learning (ASL) and particle swarm optimization (PSO). ASL techniques like bagging and AdaBoost are employed within the PSO+ASL optimization model to enhance prediction accuracy. PSO optimizes model weights and bias, while ASL addresses overfitting or underfitting issues. Split validation and cross-validation (70:30, 80:20, 9… Show more
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