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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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| Publicat a: | Contemp Clin Trials Commun |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6722281/ https://ncbi.nlm.nih.gov/pubmed/31497675 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.conctc.2019.100443 |
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