2 research outputs found
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. 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