Ontology-based decision support systems for diabetes nutrition therapy: A systematic literature review

Daniele Spoladore, Martina Tosi, Erna Cecilia Lorenzini

Abstract: Highlights•Ontologies enable semantic interoperability and transparent reasoning in AI systems.•Ontology-based systems can support diabetes nutrition therapy via recommendations.•This review studies how diabetes is modelled and how recommendations are generated.•Main trends: use of guidelines, lack of reuse and patterns, scarce collaboration•Experts' knowledge usage, reuse, and alignment can foster ontology-based AI systems.