SBIR/STTR Research Award

Ensemble Prediction for Intelligent Combat Casualty Care (EPIC3)

Award identifier d5ed477c3880331173b9fbeee3aff03f9ceeaeed85133dd7db86f299056db65aAwarding agency Department of Defense · Army

Award amount

$999,897

Program and phase

SBIR · Phase II

Award year

2018

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
CHARLES RIVER ANALYTICS, INC.
Proposal award date
2018-03-28
Contract end date
2021-01-27
UEI
DD1BYN8SN355
Solicitation number
16.1
Topic code
A16-054

Research abstract

Tactical Combat Casualty Care (TC3) is the difference between life and death following injury on the battlefield. First responders, combat medics, and casualty evacuation medics perform vital TC3 roles, but are often overburdened by multiple casualties and overwhelmed by an excess of sensor data that can be difficult to interpret in stressful and chaotic environments. Additionally, injuries can be difficult to identify when symptoms are not obvious and treatment can be difficult to perform, depending on the skill of the performer. To address these challenges, we propose to develop a prototype Ensemble Prediction for Intelligent Combat Casualty Care (EPIC3), a mobile application that uses an ensemble of classifiers, frequently tuned via machine learning, to predict life-threatening and difficult-to-detect injuries. EPIC3 presents the steps to treat those injuries through a simple, easy-to-use interface that tailors itself to the needs and skill level of the user.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

961 SBIR/STTR records share this UEI (1984–2026). Reported award amounts total $386,500,110. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Health and Human Services, Department of Homeland Security, Department of Transportation, Department of Energy

Agency intelligence

Department of Defense

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