Applications and Challenges of Machine Learning Methods in Alzheimer's Disease Multi-Source Data Analysis

BACKGROUND: Recent development in neuroimaging and genetic testing technologies have made it possible to measure pathological features associated with Alzheimer's disease (AD) in vivo. Mining potential molecular markers of AD from high-dimensional, multi-modal neuroimaging and omics data will p...

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Detalles Bibliográficos
Autores principales: Li, Xiong, Qiu, Yangping, Zhou, Juan, Xie, Ziruo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8922327/
https://www.ncbi.nlm.nih.gov/pubmed/35386189
http://dx.doi.org/10.2174/1389202923666211216163049

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8922327/
https://www.ncbi.nlm.nih.gov/pubmed/35386189
http://dx.doi.org/10.2174/1389202923666211216163049

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