2003
DOI: 10.1016/s0957-4174(03)00048-4
|View full text |Cite
|
Sign up to set email alerts
|

An ontological framework for representing and exploiting medical knowledge

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2004
2004
2011
2011

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 15 publications
(6 citation statements)
references
References 16 publications
0
6
0
Order By: Relevance
“…The integrative methodology proposed in [19] is used. This methodology has already successfully been applied in different domains: (a) Intensive Care Units [37], to develop an ontology-based system for monitoring patients; (b) biological application domains [20]; (c) biomedical domains such as ''diagnosis and plagues in tomatoes" and "diagnosis and diseases caused by protozoa" [17,18] with an academic purpose. The framework was used for integrating ontologies in the second and third domains and for managing intelligent alarms in the Intensive Care Unit application domain.…”
Section: Ontologiesmentioning
confidence: 99%
“…The integrative methodology proposed in [19] is used. This methodology has already successfully been applied in different domains: (a) Intensive Care Units [37], to develop an ontology-based system for monitoring patients; (b) biological application domains [20]; (c) biomedical domains such as ''diagnosis and plagues in tomatoes" and "diagnosis and diseases caused by protozoa" [17,18] with an academic purpose. The framework was used for integrating ontologies in the second and third domains and for managing intelligent alarms in the Intensive Care Unit application domain.…”
Section: Ontologiesmentioning
confidence: 99%
“…Our integration approach follows our work in Ref. 29 which produced promising results in a number of domains. The integrated model/ontology is evolved as a result of a sequence of integration steps of model components from many experts, and resolving inconsistencies between them.…”
Section: Related Work and Paper Contributionsmentioning
confidence: 99%
“…Torralba‐Rodriguez et al (2003) suggested an ontological framework for representing and exploiting medical knowledge, building an intelligent system for Intensive Care Units (ICUs) capable of determining whether a patient meets some diagnostic hypothesis.…”
Section: Related Workmentioning
confidence: 99%