Performance of support-vector-machine-based classification on 15 systematic review topics evaluated with the WSS@95 measure.
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Reducing systematic review workload through certainty-based screening.Using text mining for study identification in systematic reviews: a systematic review of current approachesSupporting systematic reviews using LDA-based document representations.SWIFT-Review: a text-mining workbench for systematic reviewIncreased workload for systematic review literature searches of diagnostic tests compared with treatments: challenges and opportunities.Direct comparison between support vector machine and multinomial naive Bayes algorithms for medical abstract classification.Learning to identify relevant studies for systematic reviews using random forest and external information
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Performance of support-vector-machine-based classification on 15 systematic review topics evaluated with the WSS@95 measure.
description
2011 nî lūn-bûn
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2011年の論文
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2011年論文
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2011年論文
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2011年論文
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2011年論文
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2011年論文
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2011年论文
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name
Performance of support-vector- ...... uated with the WSS@95 measure.
@en
Performance of support-vector- ...... uated with the WSS@95 measure.
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type
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Performance of support-vector- ...... uated with the WSS@95 measure.
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Performance of support-vector- ...... uated with the WSS@95 measure.
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Performance of support-vector- ...... uated with the WSS@95 measure.
@en
Performance of support-vector- ...... uated with the WSS@95 measure.
@nl
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Performance of support-vector- ...... uated with the WSS@95 measure.
@en
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Aaron M Cohen
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104; author reply 104-5
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10.1136/JAMIA.2010.008177
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2011-01-01T00:00:00Z