Machine Learning Identifies Most Accurate Time Frames to Predict Alzheimer’s Disease Progression
A Cornell-led collaboration used machine learning to identify the most accurate ways and timeframes to predict the course of Alzheimer’s disease in cognitively normal or mildly cognitively impaired people. Modeling has shown that it is easier and more accurate to predict future dementia decline in people with mild cognitive impairment than in cognitively normal or …