Disease Ontology: a backbone for disease semantic integration
University of Maryland, Baltimore · Northwestern University · +1 more institution
Abstract
The Disease Ontology (DO) database (http://disease-ontology.org) represents a comprehensive knowledge base of 8043 inherited, developmental and acquired human diseases (DO version 3, revision 2510). The DO web browser has been designed for speed, efficiency and robustness through the use of a graph database. Full-text contextual searching functionality using Lucene allows the querying of name, synonym, definition, DOID and cross-reference (xrefs) with complex Boolean search strings. The DO semantically integrates disease and medical vocabularies through extensive cross mapping and integration of MeSH, ICD, NCI's thesaurus, SNOMED CT and OMIM disease-specific terms and identifiers. The DO is utilized for…
Citation impact
- FWCI
- 15.96
- Percentile
- 100%
- References
- 28
Authors
8- LMLynn M. SchrimlCorresponding
University of Maryland, Baltimore, Northwestern University, Robert H. Lurie Comprehensive Cancer Center of Northwestern University
- CACesar Arze
Northwestern University, University of Maryland, Baltimore, Robert H. Lurie Comprehensive Cancer Center of Northwestern University
- SNSuvarna Nadendla
Northwestern University, University of Maryland, Baltimore, Robert H. Lurie Comprehensive Cancer Center of Northwestern University
- YWY.-W. W. Chang
University of Maryland, Baltimore, Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Northwestern University
- MJMark J. Mazaitis
University of Maryland, Baltimore, Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Northwestern University
Topics & keywords
- Ontology
- Unified Medical Language System
- Computer science
- Information retrieval
- SNOMED CT
- Open Biomedical Ontologies
- Ontology-based data integration
- Identifier