NCBI PubMed Central
open access
Machine learning to identify hypoxic-ischemic brain injury on early head CT after pediatric cardiac arrest.
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
- Prediction of neurological outcome after pediatric cardiac arrest using heart rate variability and machine learning.#4342
- Vasospasm in Pediatric Traumatic Brain Injury#1007079
- Pediatric cardiac arrest outcome prediction using data-driven machine learning of early quantitative electroencephalogram (qEEG) features.#143229
- Late neurologic and functional outcomes in patients with severe anoxic brain injury after cardiopulmonary arrest: a multicenter cohort study.#436942
- Severe Traumatic Brain Injury in French-Speaking Pediatric Intensive Care Units: Study of Practices#254050
Record · ID 317810
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