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Latent Dirichlet Allocation in predicting clinical trial terminations
BACKGROUND: This study used natural language processing (NLP) and machine learning (ML) techniques to identify reliable patterns from within research narrative documents to distinguish studies that complete successfully, from the ones that terminate. Recent research findings have reported that at le...
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| Publicado no: | BMC Med Inform Decis Mak |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6882341/ https://ncbi.nlm.nih.gov/pubmed/31775737 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-019-0973-y |
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