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Forecasting the progression of Alzheimer's disease using neural networks and a novel preprocessing algorithm
INTRODUCTION: There is a 99.6% failure rate of clinical trials for drugs to treat Alzheimer's disease, likely because Alzheimer's disease (AD) patients cannot be easily identified at early stages. This study investigated machine learning approaches to use clinical data to predict the progr...
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| Publicado no: | Alzheimers Dement (N Y) |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6804703/ https://ncbi.nlm.nih.gov/pubmed/31650004 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.trci.2019.07.001 |
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