Developing a Dietary Lifestyle Ontology to Improve the Interoperability of Dietary Data: Proof-of-Concept Study.

Published in: JMIR formative research (2022)

Ensuring the interoperability of dietary lifestyle data is a demanding task due to its vast scope and variations in expression. This study demonstrated that we could improve the interoperability of dietary data generated in different cultural contexts and expressed in various styles by annotating their core semantics with DILON.

Keyphrases

electronic health record
big data
metabolic syndrome
cardiovascular disease
physical activity
weight loss
poor prognosis
long non coding rna
artificial intelligence