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Open access Sep 2026

Interpretable Heart Disease Prediction: Optimizing Machine Learning Models via Metaheuristic Ivy Algorithm

Cardiovascular diseases remain a major global health burden, making the development of accurate and interpretable prediction models important for clinical decision support. In this study, the metaheuristic Ivy Algorithm was employed to perform two-stage hyperparameter optimization for five machine learning classifiers,...

Yang Jiang, Zi-Hao Zuo, Rui Liang et al. · 0 citations
#machine learning Preprint Sep 2026

CellRFT: Reinforcement Fine-Tuning for Single-Cell Perturbation Modeling

Comprehensive experiments demonstrate CellRFT's applicability across different pretrained models and effectiveness in improving perturbation prediction, reveal that optimizing one biological criterion can help or hinder others, and show that complementary rewards can improve criteria beyond those directly optimized.

Jie Yan, Li Liu, Han-Ze Guo et al. · 0 citations

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