The Autoimmune Disease Database: a dynamically compiled literature-derived database
2006
The Autoimmune Disease Database: a literature-derived database
publication
Evidence: moderate
Author Information
Author(s): Karopka Thomas, Fluck Juliane, Mevissen Heinz-Theodor, Glass Änne
Primary Institution: Institute for Medical Informatics and Biometry, University of Rostock
Conclusion
The Autoimmune Disease Database provides a tool for researchers to explore potential gene-disease relationships in autoimmune diseases.
Supporting Evidence
- The database covers 103 autoimmune disease concepts.
- It includes over 1,200 disease names and links to 541,690 abstracts.
- Named entity recognition techniques achieved a precision of 80-95%.
Takeaway
This database helps scientists find connections between genes and autoimmune diseases by searching through a lot of medical literature.
Methodology
The database was compiled using named entity recognition techniques to identify genes and diseases from Medline abstracts.
Limitations
The database does not distinguish between positive and negative associations between genes and diseases.
Digital Object Identifier (DOI)
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