Clustering of medical publications for evidence based medicine summarisation

Sara Faisal Shash, Diego Mollá

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationArtificial Intelligence in Medicine
Subtitle of host publication14th Conference on Artificial Intelligence in Medicine, AIME 2013, Proceedings
EditorsNiels Peek, Roque Marín Morales, Mor Peleg
Place of PublicationHeidelberg
PublisherSpringer, Springer Nature
Pages305-309
Number of pages5
ISBN (Electronic)9783642383267
ISBN (Print)9783642383250
DOIs
Publication statusPublished - 2013
Event14th Conference on Artificial Intelligence in Medicine, AIME 2013 - Murcia, Spain
Duration: 29 May 20131 Jun 2013

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume7885
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th Conference on Artificial Intelligence in Medicine, AIME 2013
CountrySpain
CityMurcia
Period29/05/131/06/13

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