Evaluating LLM-Generated Rules for Heart Disease Prediction

arXiv:2609.13192 · cs.LG · Submitted 2026-08-11 · Read on arXiv

cs.LG

Submitted: 2026-08-11

Updated: 2026-08-11

Code: https://github.com/FeisalAlaswad/LLM-Rule-ML-Heart-Disease-Prediction

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 5× in this paper · explained in 1 episode
• Explainability — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Large Language Model — 1× in this paper
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks