Performance of support-vectormachine-based classification on 15 systematic review topics evaluated with the WSS@95 measure

Journal of the American Medical Informatics Association

Volumn 18, Issue 1, 2011, Pages 104-

  Cohen, Aaron M ^a  

^a OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; BAYESIAN LEARNING; CLASSIFICATION; COMPUTER; EVALUATION; LETTER; PUBLICATION; SUPPORT VECTOR MACHINE; SYSTEMATIC REVIEW (TOPIC); AUTOMATION; BAYES THEOREM; DECISION SUPPORT SYSTEM; EVIDENCE BASED MEDICINE; HUMAN; INFORMATION RETRIEVAL; LITERATURE; NOTE;

ALGORITHMS; AUTOMATION; BAYES THEOREM; DECISION SUPPORT TECHNIQUES; EVIDENCE-BASED MEDICINE; HUMANS; INFORMATION STORAGE AND RETRIEVAL; REVIEW LITERATURE AS TOPIC;

EID: 78650475103     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/jamia.2010.008177     Document Type: Letter

References (4)

1. Matwin S, Kouznetsov A, Inkpen D, et al. A new algorithm for reducing the workload of experts in performing systematic reviews. J Am Med Inform Assoc 2010;17:446-53.
2. Cohen AM, Hersh WR, Peterson K, et al. Reducing workload in systematic review preparation using automated citation classification. J Am Med Inform Assoc 2006;13:206-19.
3. Cohen AM, Ambert K, McDonagh M. Cross-topic learning for work prioritization in systematic review creation and update. J Am Med Inform Assoc 2009;16:690-704.
4. Cohen A. Optimizing feature representation for automated systematic review work prioritization. AMIA Annu Symp Proc 2008:121-5.