DataCite
metadata only
CC BY 4.0
Scenario Dataset - Can We Rely on Generative AI for Emergency Patient Triage Classification?
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
- Early identification of acute kidney injury progression in critically ill patients with sepsis: interpretable machine learning approach.#440701
- Artificial intelligence-assisted phenotyping of sepsis: Research progress, clinical challenges, and translational prospects.#480859
- Representation Before Training: A Practical Benchmark for Generative Medical Event Model Tokenization#1149436
- Construction of Early Warning Model for Pulmonary Complications Risk of Surgical Patients Based on Multimodal Data Fusion#992273
- A deep learning model for the interpretable identification of pulmonary thromboembolism from computed tomography pulmonary angiography.#439129
Record · ID 11813
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