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Machine Learning Predictive Models Can Improve Efficacy of Clinical Trials for Alzheimer’s Disease
BACKGROUND: The ideal participants for Alzheimer’s disease (AD) clinical trials would show cognitive decline in the absence of treatment (i.e., placebo arm) and also would be responsive to the therapeutic intervention being studied (i.e., drug arm). One strategy to boost the power of trials is to en...
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| Publicado no: | J Alzheimers Dis |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7201366/ https://ncbi.nlm.nih.gov/pubmed/31985462 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3233/JAD-190822 |
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