ontology constructionknowledge managementAdvances in medical care and computer technology in recent decades have expanded the parameters of the traditional domain of medical services. This scenario has created new opportunities for building applications to provide enterprise services in an efficient, diverse ...
The ontology focuses on organizing measurement results semantically. For semantic use of the collected medical records, we have used Protégé-OWL for building ontology and used SPARQL query to retrieve meaningful information from the patient-provided medical data.In this paper, we propose an ontology...
- 《Studies in Health Technology & Informatics》 被引量: 18发表: 2007年 A Study on Ontology Based Medical Information System for Home Healthcare The study as a research on applied ontology for expressing medical knowledge wants to integrate logical and structural method of approaching of ...
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A healthcare related system is disclosed in which non-standard input data is corrected in a syntax processing block with reference to one or more healthcare lexicons, and a resulting corrected data file is thereafter used by an ontology processing block to reference an ontology and generate a ...
摘要: much of interest to say about what atherosclerosis is, or that it can be turned into a fascinating achieves in her eloquently written, theoretically innovative and empirically rich book The BodyMultiple: Ontology in Medical Enactments of atherosclerosis, it turns out, are multifarious....
A System for Ontology-Based Annotation of Biomedical Data We present a system for ontology based annotation and indexing of biomedical data; the key functionality of this system is to provide a service that enable... C Jonquet,MA Musen,N Shah - International Workshop on Data Integration in the...
Ontology is a formal and explicit description of concepts and their relationships and has been widely used as a general mode of knowledge representation in the fields of biomedical and health informatics [1, 2]. Applications include clinical and medical natural language processing [3, 4], informati...
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3) and entering node descriptions, the tool interacts with a medical ontology (in our implementation, SNOMED CT [16]) to standardize terminology. It also uses advanced symbolic AI techniques, like temporal reasoning, to ensure the consistency of the acquired graph [17]. Case Study Acquisition ...