… In conclusion, healthcare knowledge graphs (HKGs) hold great potential in improving the
interpretability of healthcare, enabling transparent and informed decision-making, and …

… role of knowledge graphs in XAI models in healthcare, considering a state-of-the-art review.
Based on our review, knowledge graphs … applications of knowledge graphs in the healthcare …

… (ie node properties) but also the topological graph structure (eg path length and depth).
More specifically, we will leverage knowledge representation learning techniques, which aim to …

… by scientific research and health care. This review … knowledge model, a role which biomedical
ontologies can fill. This study reviews the application of ontologies and knowledge graphs …

… use of Knowledge Graphs (KGs) as data structures that enable the integration of diverse
healthcare data … Specifically, we illustrate the application of rule mining tasks that enhance the …

… As a result, AI-based healthcare applications are not able to directly extract or semantically
… In future, we intend to create a healthcare application for differential disease diagnosis …

… healthcare conversations patterns and help healthcare … the use of knowledge graphs in
(1) Healthcare on the Web, (2… domain of Knowledge Graphs (KGs) and its application in AI …

… of constructing a knowledge graph via … knowledge graphs to solve biomedical problems.
Lastly, we conclude on the practicality of knowledge graphs and point out future applications …

… This paper aims to review the recent KG construction approaches for healthcare applications.
Thus, we attempt to cover all papers that describe mechanisms for KG construction to …

… paper is to achieve a knowledge graph construction model which can provide better knowledge
services for applications of a healthy diet. The provided knowledge by our model can be …