Gamuts - Revision history

Phismith at 19:04, 10 June 2014

2014-06-10T19:04:42Z

← Older revision		Revision as of 19:04, 10 June 2014
Line 11:		Line 11:

	:'''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.


	Charles E. KAHN, Jr., "Ontology-Based Diagnostic Decision Support in Radiology", Medical Informatics Europe 2014		Charles E. KAHN, Jr., "Ontology-Based Diagnostic Decision Support in Radiology", Medical Informatics Europe 2014

Phismith at 19:04, 10 June 2014

2014-06-10T19:04:19Z

← Older revision		Revision as of 19:04, 10 June 2014
Line 11:		Line 11:

	:'''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.

			Charles E. KAHN, Jr., "Ontology-Based Diagnostic Decision Support in Radiology", Medical Informatics Europe 2014

			:'''Abstract:''' The Radiology Gamuts Ontology (RGO) is a knowledge model of diseases, interventions, and imaging manifestations. RGO incorporates 16,822 terms with their synonyms and abbreviations and 55,393 relationships between
			terms. Subsumption defines the relationship between more general and more specific terms; causality relates disorders and their imaging manifestations. We
			explored the application of the RGO to build an interactive decision support
			system for radiological diagnosis. The Gamuts DDx system was created to apply
			the RGO's knowledge: it identifies a list of potential diagnoses in response to one
			or more user-specified imaging observations. The system also identifies a set of
			observations that allow one to narrow the diagnosis, and dynamically narrows or
			expands the list of diagnoses as imaging findings are selected or deselected. The
			functionality has been implemented as a web-based user interface and as a web
			service. The current work demonstrates the feasibility of exploiting the RGO's
			causal knowledge to provide interactive decision support for diagnosis of imaging
			findings. Ongoing efforts include the further development of the system's
			knowledge base and evaluation of the system in clinical use.

			Copies of the above can be obtained from [mailto:ckahn@mcw.edu Charles Kahn]

Phismith at 19:51, 17 January 2014

2014-01-17T19:51:04Z

← Older revision		Revision as of 19:51, 17 January 2014
Line 1:		Line 1:
	See: Charles E. Kahn Jr., Joseph J. Budovec, Cesar A. Lam and Stephen Goth, "An Ontology of Differential Diagnosis in Diagnostic Radiology", presented at 2014 AMIA Translational Summit		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.

			See also:

			Joseph J. Budovec, MD, Cesar A. Lam, MD, Charles E. Kahn, "Informatics in Radiology: Radiology Gamuts Ontology: Differential Diagnosis for the Semantic Web", 'RadioGraphics', January 2014, doi: 10.1148/rg.341135036

			:'''Abstract:''' The Semantic Web is an effort to add semantics, or “meaning,” to empower automated searching and processing of Web-based information. The overarching goal of the Semantic Web is to enable users to more easily find, share, and combine information. Critical to this vision are knowledge models called ontologies, which define a set of concepts and formalize the relations between them. Ontologies have been developed to manage and exploit the large and rapidly growing volume of information in biomedical domains. In diagnostic radiology, lists of differential diagnoses of imaging observations, called gamuts, provide an important source of knowledge. The Radiology Gamuts Ontology (RGO) is a formal knowledge model of differential diagnoses in radiology that includes 1674 differential diagnoses, 19,017 terms, and 52,976 links between terms. Its knowledge is used to provide an interactive, freely available online reference of radiology gamuts (www.gamuts.net). A Web service allows its content to be discovered and consumed by other information systems. The RGO integrates radiologic knowledge with other biomedical ontologies as part of the Semantic Web.


			Charles E. Kahn Jr., Joseph J. Budovec, Cesar A. Lam and 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.

Phismith at 15:01, 11 November 2013

2013-11-11T15:01:53Z

← Older revision		Revision as of 15:01, 11 November 2013
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., Joseph J. Budovec, Cesar A. Lam and 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.

Phismith at 15:01, 11 November 2013

2013-11-11T15:01:23Z

← Older revision		Revision as of 15:01, 11 November 2013
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.

Phismith at 15:01, 11 November 2013

2013-11-11T15:01:02Z

← Older revision		Revision as of 15:01, 11 November 2013
Line 3:		Line 3:
	'''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.

	[http://www.gamuts.net ~~\| http://www.gamuts.net~~] provides online reference information to link radiology to other Semantic Web resources~~. The "gamuts.net" site provides an interactive gamuts reference~~, 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.

Phismith at 14:59, 11 November 2013

2013-11-11T14:59:59Z

← Older revision		Revision as of 14:59, 11 November 2013
Line 3:		Line 3:
	'''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.

	[http://www.gamuts.net]~~, which~~ provides online reference information to link radiology to other Semantic Web resources. The "gamuts.net" site provides an interactive gamuts reference, an online quiz-question generator, and a visualization tool.		[http://www.gamuts.net \| http://www.gamuts.net] provides online reference information to link radiology to other Semantic Web resources. The "gamuts.net" site provides an interactive gamuts reference, an online quiz-question generator, and a visualization tool.

Phismith at 14:59, 11 November 2013

2013-11-11T14:59:31Z

← Older revision		Revision as of 14:59, 11 November 2013
Line 3:		Line 3:
	'''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.

	~~See also:~~ http://www.gamuts.net		[http://www.gamuts.net], which provides online reference information to link radiology to other Semantic Web resources. The "gamuts.net" site provides an interactive gamuts reference, an online quiz-question generator, and a visualization tool.

Phismith: Created page with '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 Translatio...'

2013-11-11T14:17:36Z

Created page with '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 Translatio...'

New page

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.

See also: http://www.gamuts.net