Nested Analysis View — Unified Cohort Trajectory Map

cohort_graph.json → one alluvial network of every patient's checkpoint sequence, T1D and T2D overlaid on shared nodes · inspired by the Evidence-Pyramid Trajectory Mapper's cross-case hub view · runs entirely in-browser, no Python/Node required
What this is. Steps 3–6 each show one lens on the cohort graph at a time (a toggle, an anchor, a filter, a summary). This page nests every patient's trajectory in whatever cohort_graph.json you load into a single network — the sample data ships with eighteen, but any cohort size works the same way: every patient walks the same six generic checkpoints (Diagnosis → Presentation → Initial plan → Escalation → Advanced/recurrent → Disposition), and where two or more patients land on the same checkpoint value, their lines are drawn through one shared node instead of parallel ones — exactly the convergence/divergence reading used in the case-report trajectory mapper this view borrows its shape from. Pick a patient below to see their own path highlighted against the rest of the cohort — "how your patient is moving" relative to everyone else on the same map. Synthetic data only, not clinical decision support.
No file loaded yet. Load your own cohort_graph.json (from Step 2) or click "Load sample data" to fetch the one hosted alongside this page.