This dataset models ICU collapse using the Clarus quad coupling framework combined with trajectory and system dynamics.
The goal is to predict whether a patient is approaching an ICU collapse cascade.
The dataset introduces a dynamic forecasting layer that allows models to reason about motion through the stability manifold rather than relying only on static physiological snapshots.
Core quad… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-stress-buffer-lag-coupling-icu-collapse-v0.3.
