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This paper describes the modelling of the LUCADA lung cancer ontology in OWL 2 and how this ontology is utilised by the online clinical decision support application Lung Cancer Assistant (LCA) for categorising patients and producing guideline-based treatment recommendations with the help of ontological inference. LCA is aimed to assist clinicians by interpreting existing patient data and use the results of this analysis to make meaningful predictions and facilitate the implementation of clinical guideline rules into daily practice.


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