Prediction of tau accumulation in prodromal Alzheimer’s disease using an ensemble machine learning approach

We developed machine learning (ML) algorithms to predict abnormal tau accumulation among patients with prodromal AD. We recruited 64 patients with prodromal AD using the Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset. Supervised ML approaches based on the random forest (RF) and a gradien...

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Detalles Bibliográficos
Autores principales: Kim, Jaeho, Park, Yuhyun, Park, Seongbeom, Jang, Hyemin, Kim, Hee Jin, Na, Duk L., Lee, Hyejoo, Seo, Sang Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7970986/
https://www.ncbi.nlm.nih.gov/pubmed/33707488
http://dx.doi.org/10.1038/s41598-021-85165-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7970986/
https://www.ncbi.nlm.nih.gov/pubmed/33707488
http://dx.doi.org/10.1038/s41598-021-85165-x

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