A distributed multitask multimodal approach for the prediction of Alzheimer’s disease in a longitudinal study

A distributed multitask multimodal approach for the prediction of Alzheimer’s disease in a longitudinal study

Predicting the progression of Alzheimer’s Disease (AD) has been held back for decades due to the lack of sufficient longitudinal data required for the development of novel machine learning algorithms. This study proposes a novel machine learning algorithm for predicting the progression of Alzheimer’...

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Bibliographic Details
Main Authors: Solale Tabarestani, Maryamossadat Aghili, Mohammad Eslami, Mercedes Cabrerizo, Armando Barreto, Naphtali Rishe, Rosie E. Curiel, David Loewenstein, Ranjan Duara, Malek Adjouadi
Format: Article
Language:English
Published: Elsevier 2020-02-01
Series:NeuroImage
Subjects:
Alzheimer’s disease
Multitask learning
Multimodal regression
Longitudinal study
Missing values
Progression
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811919309085

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http://www.sciencedirect.com/science/article/pii/S1053811919309085

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