Machine Learning Predicts Who will Decline Faster in Alzheimer’s

By harnessing everyday clinical assessments, researchers demonstrate that personalized 12-month forecasts of cognitive and functional change in dementia can be achieved without expensive imaging or invasive testing. Study design and analysis pipeline. Clinical assessments are collected at regular intervals throughout the Minder study (a). Features used for statistical analysis and predictive modelling included clinical assessment scores, participant demographics, and comorbidities (b). Participants were first grouped based on their relative cognitive and functional decline trajectories.