Explainable Tensor Multi-Task Ensemble Learning Based on Brain Structure Variation for Alzheimer’s Disease Dynamic Prediction

Machine learning approaches for predicting Alzheimer’s disease (AD) progression can substantially assist researchers and clinicians in developing effective AD preventive and treatment strategies. This study proposes a novel machine learning algorithm to predict the AD progression utilising a multi-t...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9721355/
https://www.ncbi.nlm.nih.gov/pubmed/36478772
http://dx.doi.org/10.1109/JTEHM.2022.3219775

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9721355/
https://www.ncbi.nlm.nih.gov/pubmed/36478772
http://dx.doi.org/10.1109/JTEHM.2022.3219775

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