NCBI PubMed Central
open access
Development and evaluation of cardiovascular disease risk prediction models for patients with type 2 diabetes.
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 coronary heart disease risk in a general, pre-diabetic, and diabetic population during 10 years of follow-up: Accuracy of the Framingham, SCORE, and UKPDS risk functions - The Hoorn Study#1168553
- Type 2 diabetes subtypes for precision medicine: methodological challenges and alternative prediction-based approaches#648555
- Hypoglycaemia Risk Prediction Models for Type 2 Diabetes: A Systematic Review and Meta-Analysis.#145854
- Development and Validation of a Clinical Polygenic Risk Report in U.S.-Based Health Systems for 8 Cardiovascular Conditions.#385230
- AI-driven tools for the prediction of obesity-related vascular diseases: stakeholder perspectives and challenges#19958
Record · ID 214215
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