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

Methods

Volumn 74, Issue , 2015, Pages 65-70

  Shao, Weixiang ^a   Adams, Clive E ^b   Cohen, Aaron M ^c   Davis, John M ^d   McDonagh, Marian S ^c   Thakurta, Sujata ^c   Yu, Philip S ^a   Smalheiser, Neil R ^d  

^a University of Illinois at Chicago   (United States)

^b UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^c OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

^d UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

Bias; Clinical trials; Evidence based medicine; Informatics; Information retrieval; Systematic reviews

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; CLINICAL TRIAL (TOPIC); DECISION TREE; GOLD STANDARD; LIBRARY; MACHINE LEARNING; MEDICAL SUBJECT HEADINGS; MULTICENTER STUDY (TOPIC); PHASE 1 CLINICAL TRIAL (TOPIC); PHASE 2 CLINICAL TRIAL (TOPIC); PREDICTION; PRIORITY JOURNAL; PUBLICATION; RANDOMIZED CONTROLLED TRIAL (TOPIC); SYSTEMATIC REVIEW; CLUSTER ANALYSIS; HUMAN; MEDLINE; STATISTICS AND NUMERICAL DATA;

CLINICAL TRIALS AS TOPIC; CLUSTER ANALYSIS; HUMANS; MACHINE LEARNING; MEDLINE;

EID: 85003045341     PISSN: 10462023     EISSN: 10959130     Source Type: Journal    
DOI: 10.1016/j.ymeth.2014.11.006     Document Type: Article

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