Ontologies can help to organize and analyze vast quantities of data that are too large for an individual physician to manage. Patient-reported information has ...
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Feb 5, 2009 · Our approach provides the basis for ontology-driven data integration for translational research on gene and protein expression data.
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PDF | . This article presents a new approach in order to index a Web site. It uses ontologies and natural language techniques for information retrieval.
Medical Ontology is defined as a structured system designed to capture healthcare-related information, enabling data discovery and automated reasoning.
Oct 24, 2023 · For biomedical researchers, the use of medical ontologies can assist them in annotating and categorizing data with standardized terminology.
This paper contributes a method for automated ontology-based categorization of clinical studies by their conditions.
The goals of this National Center for Biomedical Computing are to create and maintain a repository of biomedical ontologies and terminologies.
Summary. Objectives: To examine recent research work in the development and evaluation of controlled biomedical terminologies – especially ...
Jan 20, 2023 · We describe LIFOSS systematically with the help of the underlying Health Information Technology Ontology (HITO). We publish HITO and HITO-based software ...
Mar 5, 2015 · Commercial ontologies, such as SNOMED, can have hundreds of thousands of concepts. People who want to use these ontologies need an understanding ...