Personal Health Knowledge Graph for Clinically Relevant Diet Recommendations

Ching-Hua Chen; Deborah L. McGuinness; Jonathan Harris; Oshani Seneviratne

Personal Health Knowledge Graph for Clinically Relevant Diet Recommendations

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arxiv 2110.10131 v1 pith:FJBIE3M3 submitted 2021-10-19 cs.HC

Oshani Seneviratne , Jonathan Harris , Ching-Hua Chen , Deborah L. McGuinness This is my paper

classification cs.HC

keywords healthpersonalknowledgedietarygraphrecommendationsgroundedlifestyle

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We propose a knowledge model for capturing dietary preferences and personal context to provide personalized dietary recommendations. We develop a knowledge model called the Personal Health Ontology, which is grounded in semantic technologies, and represents a patient's combined medical information, social determinants of health, and observations of daily living elicited from interviews with diabetic patients. We then generate a personal health knowledge graph that captures temporal patterns from synthetic food logs, annotated with concepts from the Personal Health Ontology. We further discuss how lifestyle guidelines grounded in semantic technologies can be reasoned with the generated personal health knowledge graph to provide appropriate dietary recommendations that satisfy the user's medical and other lifestyle needs.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

From "Strings" to "Things" for Personal Knowledge Graphs: Evaluating LLM Triple Extraction for Recommendation Systems
cs.IR 2026-04 conditional novelty 6.0 of 10

Open-weight LLMs extract usable user-preference triples from recommendation dialogues for Personal Knowledge Graphs, with balanced small models often best for downstream recommendations.

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