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The goal of the research presented is to create a computational framework and system architecture for clinical decision support in palliative care. The application focused is the classification of depression. The method under investigation is case-based reasoning, motivated by the complexity of the domain and a lack of generalized principles of sufficient coverage and strength for diagnosis and treatment. A system architecture is described and exemplified through an implemented prototype. The outcome of the research so far is a system that captures the properties intended, and for which a clinical test set-up has been defined.