In this paper, we tackle the issue related to the retrieval of the best evidence that fits with a PICO (Population, Intervention, Comparison and Outcome) question. We propose a new document ranking algorithm that relies on semantic based query expansion bounded by the local search context to better discard irrelevant documents. Experiments using a standard dataset including 423 PICO questions and more than 1, 2 million of documents, show that our aproach is promising.
CITATION STYLE
Znaidi, E., Tamine, L., & Latiri, C. (2015). Answering PICO clinical questions: A semantic graph-based approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9105, pp. 232–237). Springer Verlag. https://doi.org/10.1007/978-3-319-19551-3_30
Mendeley helps you to discover research relevant for your work.