PubMed
open access
Accuracy of an XGBoost-based privacy preserving record linkage system compared with an electronic health record patient matching module in identifying patients shared between nearby academic health centers.
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
- Accuracy of an XGBoost-based privacy preserving record linkage system compared with an electronic health record patient matching module in identifying patients shared between nearby academic health centers.#30746
- Feasibility Study of a Mobile Digital Personal Health Record for Family-Centered Care Coordination for Children and Youth With Special Healthcare Needs#878936
- Privacy-protecting, reliable response data discovery using COVID-19 patient observations#996371
- Commentary: A Progress Report on Computer-Based Patient Records in Europe#2115
- A novel analysis methodology for assessment of re-identification risks for the National Cancer Institute cancer registry privacy preserving record linkage technique.#1211
Record · ID 30964
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