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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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Kim, Jaeho, Park, Yuhyun, Park, Seongbeom, Jang, Hyemin, Kim, Hee Jin, Na, Duk L., Lee, Hyejoo, Seo, Sang Won
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7970986/
https://ncbi.nlm.nih.gov/pubmed/33707488
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-85165-x
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