@inproceedings{65ed521f8ee6418898051de71ecf6059,
title = "Clustering of medical publications for evidence based medicine summarisation",
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.",
author = "Shash, {Sara Faisal} and Diego Moll{\'a}",
year = "2013",
doi = "10.1007/978-3-642-38326-7_42",
language = "English",
isbn = "9783642383250",
series = "Lecture Notes in Computer Science",
publisher = "Springer, Springer Nature",
pages = "305--309",
editor = "Niels Peek and {Mar{\'i}n Morales}, Roque and Mor Peleg",
booktitle = "Artificial Intelligence in Medicine",
address = "United States",
note = "14th Conference on Artificial Intelligence in Medicine, AIME 2013 ; Conference date: 29-05-2013 Through 01-06-2013",
}