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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Detalles Bibliográficos
Autores principales: Geletta, Simon, Follett, Lendie, Laugerman, Marcia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882341/
https://www.ncbi.nlm.nih.gov/pubmed/31775737
http://dx.doi.org/10.1186/s12911-019-0973-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882341/
https://www.ncbi.nlm.nih.gov/pubmed/31775737
http://dx.doi.org/10.1186/s12911-019-0973-y

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