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A highly predictive signature of cognition and brain atrophy for progression to Alzheimer's dementia
BACKGROUND: Clinical trials in Alzheimer's disease need to enroll patients whose cognition will decline over time, if left untreated, in order to demonstrate the efficacy of an intervention. Machine learning models used to screen for patients at risk of progression to dementia should therefore...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6511068/ https://www.ncbi.nlm.nih.gov/pubmed/31077314 http://dx.doi.org/10.1093/gigascience/giz055 |