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Modeling and prediction of clinical symptom trajectories in Alzheimer’s disease using longitudinal data
Computational models predicting symptomatic progression at the individual level can be highly beneficial for early intervention and treatment planning for Alzheimer’s disease (AD). Individual prognosis is complicated by many factors including the definition of the prediction objective itself. In thi...
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| Publicado no: | PLoS Comput Biol |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6157905/ https://ncbi.nlm.nih.gov/pubmed/30216352 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006376 |
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