The rapid advancement of digital technologies in healthcare has revealed the urgent need for strategies that improve data integration and interoperability among diverse information sources. This proposal describes a structured approach for representing electronic health records through a knowledge-based model, which facilitates the integration and linking of data across different systems. As an application, it focuses on transforming the MIMIC-III database into RDF (Resource Description Framework), addressing the complexities of converting the dataset into a structured, interoperable format, and discussing different integrity and consistency issues.

Knowledge Graphs for Clinical Data: Strategies and Challenges with an Application to MIMIC III Dataset

Amico, Beatrice
;
Combi, Carlo
2025-01-01

Abstract

The rapid advancement of digital technologies in healthcare has revealed the urgent need for strategies that improve data integration and interoperability among diverse information sources. This proposal describes a structured approach for representing electronic health records through a knowledge-based model, which facilitates the integration and linking of data across different systems. As an application, it focuses on transforming the MIMIC-III database into RDF (Resource Description Framework), addressing the complexities of converting the dataset into a structured, interoperable format, and discussing different integrity and consistency issues.
2025
9783031958403
knowledge representation
knowledge graphs
data integrity
conceptual modeling
clinical data
electronic medical records
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1201887
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