Random forest model for feature-based Alzheimer’s disease conversion prediction from early mild cognitive impairment subjects

Alzheimer’s Disease (AD) conversion prediction from the mild cognitive impairment (MCI) stage has been a difficult challenge. This study focuses on providing an individualized MCI to AD conversion prediction using a balanced random forest model that leverages clinical data. In order to do this, 383...

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Detalles Bibliográficos
Autores principales: Velazquez, Matthew, Lee, Yugyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084194/
https://www.ncbi.nlm.nih.gov/pubmed/33914757
http://dx.doi.org/10.1371/journal.pone.0244773

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084194/
https://www.ncbi.nlm.nih.gov/pubmed/33914757
http://dx.doi.org/10.1371/journal.pone.0244773

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