NCBI PubMed Central
open access
Quantifying the Predictive Power of Social Determinants of Health in Cardiovascular Disease and Type 2 Diabetes Progression Using XGBoost: 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
- Trade-offs in Cardiovascular Risk Prediction Using Race and Social Determinants of Health#154091
- Trade-offs in Cardiovascular Risk Prediction Using Race and Social Determinants of Health#151597
- Association of Social Participation with Cardiovascular Risk Factors: A Systematic Review#384202
- Fitbit-Tracked Micromovement for Cardiometabolic Health in Rural Women#1140383
- Communication of Cardiovascular Disease Risk and Prevention Strategies at the Healthy Lifestyle Centres- reality vs expected quality: A cross-sectional mix-methods study#474704
Record · ID 358352
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