The significant cost of systematic reviews and meta-analyses: A call for greater involvement of machine learning to assess the promise of clinical trials

BACKGROUND: More than 90% of clinical-trial compounds fail to demonstrate sufficient efficacy and safety. To help alleviate this issue, systematic literature review and meta-analysis (SLR), which synthesize current evidence for a research question, can be applied to preclinical evidence to identify...

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Detalles Bibliográficos
Autores principales: Michelson, Matthew, Reuter, Katja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722281/
https://www.ncbi.nlm.nih.gov/pubmed/31497675
http://dx.doi.org/10.1016/j.conctc.2019.100443

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722281/
https://www.ncbi.nlm.nih.gov/pubmed/31497675
http://dx.doi.org/10.1016/j.conctc.2019.100443

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