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Development and Evaluation of an Obesity Ontology for Social Big Data Analysis

OBJECTIVES: The aim of this study was to develop and evaluate an obesity ontology as a framework for collecting and analyzing unstructured obesity-related social media posts. METHODS: The obesity ontology was developed according to the ‘Ontology Development 101’. The coverage rate of the developed o...

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Detalles Bibliográficos
Autores principales: Kim, Ae Ran, Park, Hyeoun-Ae, Song, Tae-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5572519/
https://www.ncbi.nlm.nih.gov/pubmed/28875050
http://dx.doi.org/10.4258/hir.2017.23.3.159