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Query Expansion with Automatically Predicted Diagnosis: iRiS at TREC CDS track 2016

This paper describes the participation of the iRiS team from University of Pittsburgh in the TREC Clinical Decision Support (CDS) track in 2016. According to the track requirements, 1,000 most relevant biomedical articles from the PubMed Collection were retrieved based on information needs of 30 patients with their electronic health records (EHR) notes. Our approach focuses on using MetaMap to extract medical concepts, and using Wikipedia knowledge base to predict the patient diagnosis. Consequently, the original query is expanded with the predicted diagnosis before sent to search PubMed articles. Parameters were tuned based on CDS 2014 and 2015, and Indri is used to construct the index of the collection. Our automatic runs on description ranks 2 and our manual runs on notes ranks 3 in all submitted runs.