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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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| Pubblicato in: | J Alzheimers Dis |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2020
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| Soggetti: | |
| Accesso online: | 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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