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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Enregistré dans:
Détails bibliographiques
Publié dans:Sci Rep
Auteurs principaux: Kim, Jaeho, Park, Yuhyun, Park, Seongbeom, Jang, Hyemin, Kim, Hee Jin, Na, Duk L., Lee, Hyejoo, Seo, Sang Won
Format: Artigo
Langue:Inglês
Publié: Nature Publishing Group UK 2021
Sujets:
Article
Accès en ligne: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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