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,...
| Egile Nagusiak: | , , |
|---|---|
| Formatua: | Artikulua |
| Hizkuntza: | English |
| Argitaratua: |
Public Library of Science (PLoS)
2021-01-01
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| Saila: | PLoS ONE |
| Sarrera elektronikoa: | https://doi.org/10.1371/journal.pone.0244773 |