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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...
Autores principales: | Kim, Ae Ran, Park, Hyeoun-Ae, Song, Tae-Min |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Medical Informatics
2017
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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 |
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