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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Detalles Bibliográficos
Autores principales: Bhagwat, Nikhil, Viviano, Joseph D., Voineskos, Aristotle N., Chakravarty, M. Mallar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157905/
https://www.ncbi.nlm.nih.gov/pubmed/30216352
http://dx.doi.org/10.1371/journal.pcbi.1006376

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157905/
https://www.ncbi.nlm.nih.gov/pubmed/30216352
http://dx.doi.org/10.1371/journal.pcbi.1006376

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