Diagnostic Classification and Biomarker Identification of Alzheimer’s Disease with Random Forest Algorithm †

Random Forest (RF) is a bagging ensemble model and has many important advantages, such as robustness to noise, an effective structure for complex multimodal data and parallel computing, and also provides important features that help investigate biomarkers. Despite these benefits, RF is not used acti...

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Detalles Bibliográficos
Autores principales: Song, Minseok, Jung, Hyeyoom, Lee, Seungyong, Kim, Donghyeon, Ahn, Minkyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065661/
https://www.ncbi.nlm.nih.gov/pubmed/33918453
http://dx.doi.org/10.3390/brainsci11040453

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065661/
https://www.ncbi.nlm.nih.gov/pubmed/33918453
http://dx.doi.org/10.3390/brainsci11040453

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