ClinicalTrials.gov
public full text
Public Domain
Comparison of Delirium Evaluation Tools Effectiveness in Intensive Care Patients
This study compares the efficacy of scoring models used in delirium prediction in patients applying to intensive care unit. The diagnosis of delirium is based on the Intensive Care Delirium Screening Checklist (ICDSC). The aim of this study is determine the sensitivity and specificity of three prediction models (Delirium prediction model for ICU patients version 1 \[Predeliric version-1\], Delirium prediction model for ICU patients version 2 \[Predeliric version-2\] and Early prediction model for delirium in ICU patients \[E-Predeliric\]).
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
- A long short-term memory network with SHAP interpretability for dynamic prediction of ICU delirium: development and external validation.#457397
- Validation of the Polish Version of CPOT#907612
- Nomogram and machine learning models for predicting the risk of delirium in ICU patients with NSTEMI.#227661
- Septic Shock and Delirium Because of rSO2 Abnormalities in Intensive Care Unit Patients (The SAD BRAIN Study)#966952
- Sepsis Pre-Alert Monitoring Intervention: Study to Investigate Targeted Enhanced Monitoring for Sepsis#979464
Record · ID 1182965
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