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Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide
Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this work, we evaluate ML models for RCT classification...
Uloženo v:
| Vydáno v: | Res Synth Methods |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
John Wiley and Sons Inc.
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6030513/ https://ncbi.nlm.nih.gov/pubmed/29314757 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/jrsm.1287 |
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