constantjxyz/PromptLink

PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking

13
/ 100
Experimental

This tool helps biomedical researchers and healthcare data analysts connect similar medical terms from different data sources, like electronic health records (EHR) and knowledge graphs. It takes concept names from these disparate sources and outputs a reliable mapping between them, even without additional context. This is useful for anyone working with complex biomedical data who needs to standardize terminology across systems.

No commits in the last 6 months.

Use this if you need to accurately link biomedical concepts across different datasets or systems, relying only on their names.

Not ideal if you have extensive contextual information or topological data available for your concept linking task, as this tool is specifically designed for name-only matching.

biomedical-research healthcare-data-analysis electronic-health-records medical-terminology knowledge-graph-integration
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 0 / 25

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Language

Python

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Last pushed

Feb 21, 2024

Commits (30d)

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