Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction

1 code implementation • Scientific Reports 2024 • Michael C. Burkhart, Liz Y. Lee, Delshad Vaghari, An Qi Toh, Eddie Chong, Christopher Chen, Peter Tiňo, Zoe Kourtzi

In contrast to supervised classification approaches that require labeled data, we propose an unsupervised multimodal trajectory modeling (MTM) approach based on a mixture of state space models that captures changes in longitudinal data (i. e., trajectories) and stratifies individuals without using clinical diagnosis for model training.

Trajectory Modeling