AD-NET: Age-adjust neural network for improved MCI to AD conversion prediction

The prediction of Mild Cognitive Impairment (MCI) patients who are at higher risk converting to Alzheimer's Disease (AD) is critical for effective intervention and patient selection in clinical trials. Different biomarkers including neuroimaging have been developed to serve the purpose. With ex...

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Detalles Bibliográficos
Autores principales: Gao, Fei, Yoon, Hyunsoo, Xu, Yanzhe, Goradia, Dhruman, Luo, Ji, Wu, Teresa, Su, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7306626/
https://www.ncbi.nlm.nih.gov/pubmed/32570205
http://dx.doi.org/10.1016/j.nicl.2020.102290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7306626/
https://www.ncbi.nlm.nih.gov/pubmed/32570205
http://dx.doi.org/10.1016/j.nicl.2020.102290

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