№ lp_2_1_03737
Year: 2024
Region / City: Ann Arbor, MI, USA
Topic: Biomedical Ontologies, Vaccine Classification
Document Type: Research Article
Organization / Institution: University of Michigan Medical School, Thesaurus Health, Odysseus Data Services, Inc., IQVIA, Inc.
Author: Jie Zheng, PhD, Alexander Davydov, MD, Anna Ostropolets, PhD, Qi Yang, MD, PhD, Yongqun He, PhD
Target Audience: Researchers, Healthcare Data Scientists, Bioinformaticians
Period of Validity: N/A
Approval Date: N/A
Date of Modifications: N/A
Keywords: Onto-OMOP, Vaccine Ontology, OHDSI, Classification Terms, RxNorm, Biomedical Ontologies, SPARQL, OntoFox
Context Description: This research article describes the development of an automatic pipeline (Onto-OMOP) for generating classification terms and relationships in the Vaccine Ontology for the OHDSI standardized vocabularies, specifically targeting RxNorm and RxE vaccine concepts.
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