Abstract
We present a study of the clustering properties of medical publications for the aim of Evidence Based Medicine summarisation. Given a dataset of documents that have been manually assigned to groups related to clinical answers, we apply K-Means clustering and verify that the documents can be clustered reasonably well. We advance the implications of such clustering for natural language processing tasks in Evidence Based Medicine. © 2013 Springer-Verlag.
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CITATION STYLE
Shash, S. F., & Mollá, D. (2013). Clustering of medical publications for evidence based medicine summarisation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7885 LNAI, pp. 305–309). Springer Verlag. https://doi.org/10.1007/978-3-642-38326-7_42
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