Cargando…
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...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2018
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030513/ https://www.ncbi.nlm.nih.gov/pubmed/29314757 http://dx.doi.org/10.1002/jrsm.1287 |