Tumor Treatment Decision Tree

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Tumor Treatment Decision Tree

✓ Published0🌍 Public

Last edited Jul 9, 2019

Created on Jul 5, 2019

Forked from Untitled

This interactive decision tree maps tumor treatment protocols, guiding users from a diagnosis through surgical and histopathological branching to specific clinical guidelines for conditions like medulloblastoma, ependymoma, and gliomas. The visualization uses a hierarchical layout via `d3.tree()` in D3 v5, rendering nodes as colored SVG rectangles with text labels, linked by red horizontal paths generated with `linkHorizontal()`. Pan and zoom controls are enabled through the `d3.zoom()` API, while the underlying JSON data structures the decision pathways.

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