NCBI PubMed Central
open access
Pain as a predictor of incident frailty in middle-aged and older adults with metabolic dysfunction-associated steatotic liver disease: a prospective cohort study using machine learning and external validation.
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 dementia-related mortality in metabolic dysfunction-associated steatotic liver disease using survival machine-learning models.#1367893
- AI-driven diagnostic and prognostic models for metabolic dysfunction-associated steatotic liver disease: insights from clinical, imaging, and multi-omics studies-a scoping review.#685641
- Integrating frailty and cumulative lipid burden for stroke risk stratification: a machine learning-guided Athero-Frailty Score from the CHARLS cohort.#174560
- Interpretable Machine Learning Models for Early Detection of Metabolic Dysfunction-Associated Steatotic Liver Disease Using Non-Invasive Routine Clinical and Laboratory Data.#371375
- Comprehensive Validation of Frailty Assessment Tools in Older Adults in Different Clinical and Social Settings#845404
Record · ID 1329731
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