sandtablR: Mass-Casualty Incident Simulation and Machine Learning Workbench

A generic framework for mass-casualty incident tabletop exercise simulation, decision-path analysis, and machine learning. Provides a discrete-event patient-flow engine, a tidy data model for scenarios, patient cards and decision paths, synthetic cohort generation, supervised triage and therapy-concept classification spanning interpretable and black-box models, sequence analysis of participant decision paths, and a model-agnostic explainability layer. An interactive 'shiny' workbench ties the pieces together for scenario building, simulation, model training, comparison and visualisation.

See also

Useful links:

• https://github.com/cttir/sandtablR

• https://cttir.github.io/sandtablR/

• Report bugs at https://github.com/cttir/sandtablR/issues

Author

Maintainer: Raban Heller raban.heller@charite.de (ORCID)

Authors:

• Raban Heller raban.heller@charite.de (ORCID)

• Gerhard Achatz