Literature DB >> 29678019

Combining the Generic Entity-Attribute-Value Model and Terminological Models into a Common Ontology to Enable Data Integration and Decision Support.

Jacques Bouaud1, Gilles Guézennec2, Brigitte Séroussi2.   

Abstract

The integration of clinical information models and termino-ontological models into a unique ontological framework is highly desirable for it facilitates data integration and management using the same formal mechanisms for both data concepts and information model components. This is particularly true for knowledge-based decision support tools that aim to take advantage of all facets of semantic web technologies in merging ontological reasoning, concept classification, and rule-based inferences. We present an ontology template that combines generic data model components with (parts of) existing termino-ontological resources. The approach is developed for the guideline-based decision support module on breast cancer management within the DESIREE European project. The approach is based on the entity attribute value model and could be extended to other domains.

Entities:  

Keywords:  Breast Cancer; Clinical Data Model; Decision Support Systems; Ontology; Semantic Interoperability

Mesh:

Year:  2018        PMID: 29678019

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  1 in total

1.  Defining health data elements under the HL7 development framework for metadata management.

Authors:  Zhe Yang; Kun Jiang; Miaomiao Lou; Yang Gong; Lili Zhang; Jing Liu; Xinyu Bao; Danhong Liu; Peng Yang
Journal:  J Biomed Semantics       Date:  2022-03-18
  1 in total

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