NCBI PubMed Central
open access
Prognostic value of platelet-to-white blood cell ratio in critically ill patients with non-traumatic subarachnoid hemorrhage: a machine learning-driven study of the public database and the hospital information system.
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
- Application of a machine learning model integrating T cell subsets and clinical markers in 28-Day mortality prediction of sepsis patients.#483390
- Early identification of acute kidney injury progression in critically ill patients with sepsis: interpretable machine learning approach.#440701
- Impact of sex on outcomes in critically ill patients with subarachnoid hemorrhage: a secondary analysis of a French prospective cohort study#424889
- DetectIon of Severe Sepsis In PATients With Neurological haemorrhagE (The DISSIPATE Study)#1045100
- External Validation, Recalibration, and Extension of a Prediction Model of Early Acute Kidney Injury in Critically Ill Children Using Multicenter Data.#227757
Record · ID 1359247
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