NCBI PubMed Central
open access
Cardiology hospital admission risk prediction: training, internal validation and technical implementation in the electronic health record.
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
- Challenges in Identifying Heart Failure Diagnoses from the Electronic Health Record.#1134467
- Development and validation of a machine learning-based clinical decision support tool for stratifying intravenous medication risk in hospitalized patients with heart failure#368924
- Development and external validation of an ICU mortality prediction model using routinely collected clinical data.#251046
- Artificial Intelligence for Preventing Heart Disease (AiPHD): Observational, Single Center, Prospective and Retrospective Study#1138482
- Trustworthy, Integrated Artificial Intelligence Tools for Predicting High-risk CORonary PlaqueS#881477
Record · ID 415347
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