Before revision:  We use data comprising 18-month longitudinal trajectories of 42 clinical variables from 1908 patients with Mild Cognitive Impairment (MCI) or Alzheimer's Disease (AD) to train a model for personalized forecasting of disease progression.
After revision:  We use data comprising 18-month trajectories of 44 clinical variables from 1908 patients with Mild Cognitive Impairment (MCI) or Alzheimer's Disease (AD) to train a model for personalized forecasting of disease progression.