NCBI PubMed Central
open access
Interpretable machine learning and mendelian randomization identify risk factors for lower extremity arterial embolism and thrombosis.
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
- Interpretable machine learning for endometriosis classification: a rule-based approach.#465406
- A machine-learning-based tool for stroke risk prediction in blunt cerebrovascular injury: development and preliminary evaluation.#3916
- Machine Learning–Based Early Prediction of Lower Extremity Deep Vein Thrombosis in the ICU: A Multicenter Study.#244282
- Not All Synthetic Data Are Equal: Expert-Committee Audit Screening for Imbalanced Crash-Injury-Severity Prediction in Automated Driving Systems#1077614
- Development and validation of an early prediction model for bee-sting-induced acute kidney injury using machine learning.#228214
Record · ID 439010
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