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

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

Abstract 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...

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Bibliographic Details
Main Authors: Jaeho Kim, Yuhyun Park, Seongbeom Park, Hyemin Jang, Hee Jin Kim, Duk L. Na, Hyejoo Lee, Sang Won Seo
Format: Article
Language:English
Published: Nature Portfolio 2021-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-85165-x

Internet

https://doi.org/10.1038/s41598-021-85165-x

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