Personal Health Knowledge Graphs for Patients

Abstract

Existing patient data analytics platforms fail to incorporate information that has context, is personal, and topical to patients. For a recommendation system to give a suitable response to a query or to derive meaningful insights from patient data, it should consider personal information about the patient's health history, including but not limited to their preferences, locations, and life choices that are currently applicable to them. In this review paper, we critique existing literature in this space and also discuss the various research challenges that come with designing, building, and operationalizing a personal health knowledge graph (PHKG) for patients.

CONNECTED: leveraging digital twins and personal knowledge graphs in healthcare digitalization

“…Gyrard et al propose a PKG framework aimed at developing personalized healthcare applications to effectively manage chronic disease ( 8 ). Rastogi and Zaki suggest that PKGs could be used to personalize recommendations from good platforms to encourage a healthy lifestyle ( 9 ). Ammar et al present a mobile health digital intervention that combines both patients’ personal health data and contextual knowledge from various sources ( 10 ).…”

Domain-specific knowledge graphs: A survey

“…The authors incorporate Google Health Knowledge Graph (GHKG) and created a KG that embodies diseases and symptoms and relationships between them. Rastogi et al [50] framed the personal health KG as a combination of context, personalization, and integration with other knowledge-bases. Their study indicated that the literature on personalised health-related KGs is inadequate and lacks a unified standard representation to depict the designated domain.…”

Combining Blockchain and Semantic Technologies: A Survey

“…They define possible classes and relations between entities in a schema. This allows for potentially interrelating arbitrary entities with each other and covers various topical domains [6].…”