Clustering of Medical Publications for Evidence Based Medicine Summarisation
نویسندگان
چکیده
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.
منابع مشابه
Automated text summarisation and evidence-based medicine: A survey of two domains
The practice of evidence-based medicine (EBM) urges medical practitioners to utilise the latest research evidence when making clinical decisions. Because of the massive and growing volume of published research on various medical topics, practitioners often find themselves overloaded with information. As such, natural language processing research has recently commenced exploring techniques for p...
متن کاملCitation Analysis of the Most Influential Publications in Travel Medicine
Introduction: Citation analysis reflects the extent to which published work has been recognized in the scientific community. The purpose of this study was to characterize the most cited publications in travel medicine.Methods: Travel medicine articles indexed on Scopus which had been published in the English language through 2016 were retrieved independen...
متن کاملAn Approach for Query-Focused Text Summarisation for Evidence Based Medicine
We present an approach for extractive, query-focused, singledocument summarisation of medical text. Our approach utilises a combination of target-sentence-specific and target-sentence-independent statistics derived from a corpus specialised for summarisation in the medical domain. We incorporate domain knowledge via the application of multiple domain-specific features, and we customise the answ...
متن کاملA Corpus for Evidence Based Medicine Summarisation
In this paper we motivate the need for a corpus for the development and testing of summarisation systems for evidencebased medicine. We describe the corpus which we are currently creating, and show its applicability by evaluating several simple query-based summarisation techniques using a small fragment of the corpus.
متن کاملMulti-Objective Optimization for Clustering of Medical Publications
Clustering the results of a search can help a multi-document summarizer present a summary for evidence based medicine (EBM). In this work, we introduce a clustering technique that is based on multiobjective (MOO) optimization. MOO is a technique that shows promise in the areas of machine learning and natural language processing. In our approach we show how MOO based semi-supervised clustering t...
متن کامل