A Knowledge Graph to Analyze Clinical Patient Data


연구 분야: Databases



학회: European Conference on Advances in Databases and Information Systems


초록

Knowledge graphs may be successfully applied to represent different types of relationships among different types of subjects. Here, we propose a Knowledge Graph model to represent patient data coming from clinical folders information. The main aim is to provide suitable classifications of patients, in order to allow a deeper understanding of possible (side) effects that the same treatment may cause on different patients. We have implemented our model using the Neo4J NoSQL database and we present some preliminary analysis, as an example of how our model can be usefully exploited.


Author Profile
Mariella Bonomo

Department of Mathematics and Computer Science University of Palermo Palermo Italy

Andorra
Author Profile
Francesco Ippolito

Kazaam Lab S.r.l. Palermo Italy

Italy
Author Profile
Salvatore Morfea

Department of Mathematics and Computer Science University of Palermo Palermo Italy

Andorra

📄 논문 정보

발행 연도 2023년
인용수 0
출판 국가 Italy, Andorra
사이트 Springer
좋아요 수 0

연관 논문 목록 (55건)