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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| 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 |