For the TREC 2014 Clinical Decision Support track, participants were given a set of 30 patient cases in the form of a short natural language description and a data set of over 700,000 full-text articles from PubMed Central. The task was to retrieve articles relevant to the patient cases and one of three types of clinical question: diagnosis, test, and treatment. This paper describes the retriev...