Data Competition

The Final Scenario

During Events 1 and 2, teams used data from over 6,000 trauma center cases to train predictive algorithms to identify patients who need life-saving interventions (LSIs).

In Event 3, teams will face three tasks that test how well their algorithms can predict urgent care needs and support response planning when resources are scarce.

Predict LSIs at “First Look”
Use the first five minutes of pre-hospital clinical procedures to predict LSIs that may be needed hours later.

Conduct Continuous Triage
As more in-hospital clinical data is presented, accurately predict LSIs needed in the next 20 minutes.

Prioritize Resources
Scale LSI recommendations based on the availability of medical resources, with the goal of improving planning for and response to civilian mass casualty incidents and battlefield environments.

Teams

Competitors include self-funded teams and teams funded by DARPA.

See all Data teams