NCBI PubMed Central
open access
Development and Validation of a Predictive Model Using Logistic Regression and Machine Learning for Carotid Artery Atherosclerosis Risk in Postmenopausal Han Women from Northern China: A Retrospective Case-Control 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
- Epidemiology of Cardiovascular Risk Factors in Women (Healthy Women Study)#1137417
- Nonalcoholic Fatty Liver Disease and Cardiovascular Disease: the Correlation Analysis and Risk Prediction Model Study#628633
- Ethnic and sex inequalities in premature coronary artery disease across disaggregated South Asian and Black subgroups in England: a population-based cohort study#475700
- Short-term predictive ability of selected cardiovascular risk prediction models in a rural Bangladeshi population: A case-cohort study#222222
- Coronary Heart Disease Risk Factors in Blacks Vs Whites#1139656
Record · ID 364670
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