NCBI PubMed Central
open access
Development and external validation of an interpretable machine learning model for early prediction of in-hospital mortality in neurocritical care.
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
- Predicting ICU Mortality in ARDS Patients#803805
- Machine Learning Prediction of Mortality After Prone Positioning in ARDS#897875
- A long short-term memory network with SHAP interpretability for dynamic prediction of ICU delirium: development and external validation.#457397
- Development and internal validation of a prediction model incorporating SOFA, Prognostic Nutritional Index, and Neutrophil-to-Albumin Ratio for early prediction of in-hospital mortality in patients with Sepsis: A single-center retrospective study#416070
- A Prediction Model for 1-year Mortality After Valvular Heart Surgery#992548
Record · ID 1267082
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