Deep learning for risk-based stratification of cognitively impaired individuals

Deep learning for risk-based stratification of cognitively impaired individuals

Summary: 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,...

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Bibliographic Details
Main Authors: Michael F. Romano, Xiao Zhou, Akshara R. Balachandra, Michalina F. Jadick, Shangran Qiu, Diya A. Nijhawan, Prajakta S. Joshi, Shariq Mohammad, Peter H. Lee, Maximilian J. Smith, Aaron B. Paul, Asim Z. Mian, Juan E. Small, Sang P. Chin, Rhoda Au, Vijaya B. Kolachalama
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:iScience
Subjects:
Health sciences
Illness behavior
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004223015997

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http://www.sciencedirect.com/science/article/pii/S2589004223015997

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