Gamuts: Difference between revisions
From NCOR Wiki
Jump to navigationJump to search
mNo edit summary |
mNo edit summary |
||
Line 1: | Line 1: | ||
See Charles E. Kahn Jr., MD, MS, Joseph J. Budovec, Cesar A. Lam, Stephen Goth, "An Ontology of Differential Diagnosis in Diagnostic Radiology", presented at 2014 AMIA Translational Summit | See Charles E. Kahn Jr., MD, MS, Joseph J. Budovec, Cesar A. Lam, Stephen Goth, "An Ontology of Differential Diagnosis in Diagnostic Radiology", presented at 2014 AMIA Translational Summit | ||
'''Abstract:''' We created an ontology of 282 differential-diagnosis lists, or “gamuts,” in the domain of gastrointestinal radiology. The model describes 7,042 relationships for causality, subsumption, and synonymy among 3,363 disorders and imaging observations; the ontology’s concepts are annotated with and indexed by RadLex® concepts and SNOMED Clinical Terms®. The ontology is published as a Web Ontology Language (OWL) document. The knowledge representation allows automated reasoning over the ontology and integration with heterogeneous biomedical knowledge resources such as decision support systems, clinical image repositories, and the biomedical literature. This ontology has been applied to create several applications, including a RESTful web service, a web-based, illustrated gamuts reference, and a differential-diagnosis quiz generator. The present work serves as a model for a comprehensive ontology of differential diagnosis in diagnostic radiology. | :'''Abstract:''' We created an ontology of 282 differential-diagnosis lists, or “gamuts,” in the domain of gastrointestinal radiology. The model describes 7,042 relationships for causality, subsumption, and synonymy among 3,363 disorders and imaging observations; the ontology’s concepts are annotated with and indexed by RadLex® concepts and SNOMED Clinical Terms®. The ontology is published as a Web Ontology Language (OWL) document. The knowledge representation allows automated reasoning over the ontology and integration with heterogeneous biomedical knowledge resources such as decision support systems, clinical image repositories, and the biomedical literature. This ontology has been applied to create several applications, including a RESTful web service, a web-based, illustrated gamuts reference, and a differential-diagnosis quiz generator. The present work serves as a model for a comprehensive ontology of differential diagnosis in diagnostic radiology. | ||
The [http://www.gamuts.net Gamuts] website provides online reference information to link radiology to other Semantic Web resources, including an online quiz-question generator, and a visualization tool. | The [http://www.gamuts.net Gamuts] website provides online reference information to link radiology to other Semantic Web resources, including an online quiz-question generator, and a visualization tool. |
Revision as of 15:01, 11 November 2013
See Charles E. Kahn Jr., MD, MS, Joseph J. Budovec, Cesar A. Lam, Stephen Goth, "An Ontology of Differential Diagnosis in Diagnostic Radiology", presented at 2014 AMIA Translational Summit
- Abstract: We created an ontology of 282 differential-diagnosis lists, or “gamuts,” in the domain of gastrointestinal radiology. The model describes 7,042 relationships for causality, subsumption, and synonymy among 3,363 disorders and imaging observations; the ontology’s concepts are annotated with and indexed by RadLex® concepts and SNOMED Clinical Terms®. The ontology is published as a Web Ontology Language (OWL) document. The knowledge representation allows automated reasoning over the ontology and integration with heterogeneous biomedical knowledge resources such as decision support systems, clinical image repositories, and the biomedical literature. This ontology has been applied to create several applications, including a RESTful web service, a web-based, illustrated gamuts reference, and a differential-diagnosis quiz generator. The present work serves as a model for a comprehensive ontology of differential diagnosis in diagnostic radiology.
The Gamuts website provides online reference information to link radiology to other Semantic Web resources, including an online quiz-question generator, and a visualization tool.