Query Reconstruction in Medical Case Description Using Query Performance Predictors

As an important branch of clinical decision support track, medical literature retrieval receives the electronic medical record as an input to obtain the acquired information from a large amount of medical literature. However, the description of clinical record is rather complicated and ambiguous in semantic way, therefore it is necessary for us to perform query reconstruction for a better retrieval performance. In this paper, we take the advantage of query quality predictors to process long clinical notes with redundant content, and predict query intent to reconstruct the original query. Experimental results on the standard Text REtrieval Conference (TREC) CDS track dataset confirm the superior performance of the proposed method.