Agentic neural architecture search for clinical prediction from electronic health records: Cross-hospital knowledge transfer and computational efficiency
cs.AI, cs.MA
Submitted: 2026-08-22
Updated: 2026-10-09
Code: https://github.com/GatorAIM/ATHENA
Sources
- A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models
- DT-BEHRT: Disease Trajectory-aware Transformer for Interpretable Patient Representation Learning
- Neural Architecture Search with Reinforcement Learning
- DARTS: Differentiable Architecture Search
- Can GPT-4 Perform Neural Architecture Search?
- Neural Architecture Search: Insights from 1000 Papers
- MetaLLMix : An XAI Aided LLM-Meta-learning Based Approach for Hyper-parameters Optimization
- GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- Agents' Last Exam
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems