A Knowledge graph representation of baseline characteristics for the Dutch proton therapy research registry ...

Cancer registries collect multisource data and provide valuable information that can lead to unique research opportunities. In the Netherlands, a registry and model-based approach (MBA) are used for the selection of patients that are eligible for proton therapy. We collected baseline characteristics including demographic, clinical, tumour and treatment information. These data were transformed into a machine readable format using the FAIR (Findable, Accessible, Interoperable, Reusable) data principles and resulted in a knowledge graph with baseline characteristics of proton therapy patients. Wi... Mehr ...

Verfasser: Sloep, Matthijs
Kalendralis, Petros
Choudhury, Ananya
Seyben, Lerau
Snel, Jasper
George, Nibin Moni
Veening, Martijn
Langendijk, Johannes A.
Dekker, Andre
van Soest, Johan
Fijten, Rianne
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Verlag/Hrsg.: arXiv
Schlagwörter: Databases cs.DB / FOS: Computer and information sciences
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-28980389
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://dx.doi.org/10.48550/arxiv.2107.02482

Cancer registries collect multisource data and provide valuable information that can lead to unique research opportunities. In the Netherlands, a registry and model-based approach (MBA) are used for the selection of patients that are eligible for proton therapy. We collected baseline characteristics including demographic, clinical, tumour and treatment information. These data were transformed into a machine readable format using the FAIR (Findable, Accessible, Interoperable, Reusable) data principles and resulted in a knowledge graph with baseline characteristics of proton therapy patients. With this approach, we enable the possibility of linking external data sources and optimal flexibility to easily adapt the data structure of the existing knowledge graph to the needs of the clinic. ...