NCBI PubMed Central
open access
Machine learning models to predict ICU admission of patients with COPD and depression: A retrospective cohort study.
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
- The association of systemic inflammatory indices with all-cause mortality risks in patients with COPD: A cohort study based on machine learning.#154273
- PRAM: Post-hoc Retrieval Augmentation for Parameter-Free Domain Adaptation of ICU Clinical Prediction Models#156678
- PRAM: Post-hoc Retrieval Augmentation for Parameter-Free Domain Adaptation of ICU Clinical Prediction Models#152667
- Predicting ICU Mortality in ARDS Patients#803805
- Explainable machine learning model for predicting acute exacerbations of COPD combining sarcopenia index and traditional risk factors: A retrospective single-center exploratory study.#218880
Record · ID 322932
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