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  "Description": "A generic framework for mass-casualty incident tabletop\nexercise simulation, decision-path analysis, and machine\nlearning. Provides a discrete-event patient-flow engine, a tidy\ndata model for scenarios, patient cards and decision paths,\nsynthetic cohort generation, supervised triage and\ntherapy-concept classification spanning interpretable and\nblack-box models, sequence analysis of participant decision\npaths, and a model-agnostic explainability layer. An\ninteractive 'shiny' workbench ties the pieces together for\nscenario building, simulation, model training, comparison and\nvisualisation.",
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