Forecasting Disease Trajectories in Alzheimer's Disease Using Deep Learning

6 Jul 2018Bryan LimMihaela van der Schaar

Joint models for longitudinal and time-to-event data are commonly used in longitudinal studies to forecast disease trajectories over time. Despite the many advantages of joint modeling, the standard forms suffer from limitations that arise from a fixed model specification and computational difficulties when applied to large datasets... (read more)

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