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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...
Autores principales: | Michelson, Matthew, Reuter, Katja |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
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 |
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