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Cross-Topic Learning for Work Prioritization in Systematic Review Creation and Update

OBJECTIVE: Machine learning systems can be an aid to experts performing systematic reviews (SRs) by automatically ranking journal articles for work-prioritization. This work investigates whether a topic-specific automated document ranking system for SRs can be improved using a hybrid approach, combi...

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書誌詳細
主要な著者: Cohen, Aaron M., Ambert, Kyle, McDonagh, Marian
フォーマット: Artigo
言語:Inglês
出版事項: American Medical Informatics Association 2009
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC2744720/
https://ncbi.nlm.nih.gov/pubmed/19567792
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1197/jamia.M3162
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