Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide

Research Synthesis Methods

Volumn 9, Issue 4, 2018, Pages 602-614

  Marshall, Iain J ^a   Noel Storr, Anna ^b   Kuiper, Joël ^c   Thomas, James ^d   Wallace, Byron C ^e  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c Doctor Evidence LLC   (United States)

^d UNIVERSITY COLLEGE LONDON   (United Kingdom)

^e NORTHEASTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; BIBLIOGRAPHIC DATABASE; DOCUMENTATION; EVIDENCE BASED MEDICINE; HUMAN; INFORMATION RETRIEVAL; LITERATURE; MACHINE LEARNING; PROCEDURES; RANDOMIZED CONTROLLED TRIAL (TOPIC); RECEIVER OPERATING CHARACTERISTIC; REGISTER; REPRODUCIBILITY; SEARCH ENGINE; SENSITIVITY AND SPECIFICITY; STANDARDS; SUPPORT VECTOR MACHINE;

ALGORITHMS; DATABASES, BIBLIOGRAPHIC; EVIDENCE-BASED MEDICINE; HUMANS; INFORMATION STORAGE AND RETRIEVAL; MACHINE LEARNING; RANDOMIZED CONTROLLED TRIALS AS TOPIC; REGISTRIES; REPRODUCIBILITY OF RESULTS; REVIEW LITERATURE AS TOPIC; ROC CURVE; SEARCH ENGINE; SENSITIVITY AND SPECIFICITY; SUBJECT HEADINGS; SUPPORT VECTOR MACHINE;

EID: 85041644752     PISSN: None     EISSN: 17592887     Source Type: Journal    
DOI: 10.1002/jrsm.1287     Document Type: Conference Paper

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