arXiv (All)
open access
Agentic neural architecture search for clinical prediction from electronic health records: Cross-hospital knowledge transfer and computational efficiency
Transformer architectures for clinical prediction from electronic health records (EHRs) often require costly manual tuning and may vary across hospitals and tasks. We introduce ATHENA (Agentic Transfer across Hospitals for EHR Neural Architecture Search), a knowledge-guided agentic neural architectu
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- FedEHR-Agents: Federated Agentic Optimization for Automated EHR Modeling#781141
- FedEHR-Agents: Federated Agentic Optimization for Automated EHR Modeling#779766
- MedHarnessBench: A Unified Benchmark for Healthcare Agent Evaluation#1326964
- From interface to outcome: a 4I framework for AI-linked functionality in electronic health records.#375393
- The Impact of Clinical Pharmacists Role in Transition of Care From Other Departments to Critical Care Units in Alexandria Main University Hospital.#979772
Record · ID 1325245
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive