Deep learning for risk-based stratification of cognitively impaired individuals

Quantifying the risk of progression to Alzheimer’s disease (AD) could help identify persons who could benefit from early interventions. We used data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI, n = 544, discovery cohort) and the National Alzheimer’s Coordinating Center (NACC, n = 508,...

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Detalles Bibliográficos
Autores principales: Romano, Michael F., Zhou, Xiao, Balachandra, Akshara R., Jadick, Michalina F., Qiu, Shangran, Nijhawan, Diya A., Joshi, Prajakta S., Mohammad, Shariq, Lee, Peter H., Smith, Maximilian J., Paul, Aaron B., Mian, Asim Z., Small, Juan E., Chin, Sang P., Au, Rhoda, Kolachalama, Vijaya B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460987/
https://www.ncbi.nlm.nih.gov/pubmed/37646016
http://dx.doi.org/10.1016/j.isci.2023.107522

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460987/
https://www.ncbi.nlm.nih.gov/pubmed/37646016
http://dx.doi.org/10.1016/j.isci.2023.107522

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