Aggregator: a machine learning approach to identifying MEDLINE articles that derive from the same underlying clinical trial

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Aggregator: a machine learning approach to identifying MEDLINE articles that derive from the same underlying clinical trial

Objective It is important to identify separate publications that report outcomes from the same underlying clinical trial, in order to avoid over-counting these as independent pieces of evidence. Methods We created positive and negative training sets (comprised of pairs of articles reporting o...

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Bibliographic Details
Main Authors:	Shao, Weixiang, Adams, Clive E., Cohen, Aaron M., Davis, John M., McDonagh, Marian S., Thakurta, Sujata, Yu, Philip S., Smalheiser, Neil R.
Format:	Article
Published:	Elsevier 2015
Subjects:	Evidence-based medicine; Clinical trials; Systematic reviews; Bias; Information retrieval; Informatics
Online Access:	https://eprints.nottingham.ac.uk/46915/

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