Paper: Clinical Information Retrieval using Document and PICO Structure

ACL ID N10-1124
Title Clinical Information Retrieval using Document and PICO Structure
Venue Human Language Technologies
Session Main Conference
Year 2010
Authors

In evidence-based medicine, clinical questions involve four aspects: Patient/Problem (P), In- tervention (I), Comparison (C) and Outcome (O), known as PICO elements. In this pa- per we present a method that extends the lan- guage modeling approach to incorporate both document structure and PICO query formu- lation. We present an analysis of the distri- bution of PICO elements in medical abstracts that motivates the use of a location-based weighting strategy. In experiments carried out on a collection of 1.5 million abstracts, the method was found to lead to an improvement of roughly 60% in MAP and 70% in P@10 as compared to state-of-the-art methods.