HAL (France)
open access
Decoding candidemia in critically ill patients: unsupervised clustering identifies three unique phenotypes
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
- Analysis of the prevalence and risk factors of post-intensive-care syndrome and post-sepsis syndrome in survivors of sepsis.#13463
- Genetic Susceptibility Factors for Candidemia.#1086245
- Endothelial Function, Inflammation and Organ Dysfunction in COVID-19#884885
- Validation of intensive care unit predictive scoring systems in West Africans#5290
- Sepsis in ICU:Causes and Outcomes of Sepsis in Diabetics Versus Non Diabetics in Assiut University Hospital#982312
Record · ID 330255
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